Title
• 276 min read
To create the same data, fork and run this notebook
!mkdir /tmp/m
!mkdir /tmp/c
!mkdir /tmp/u
!cp ../input/scrape-fuaimeanna-private/wav/*s1.wav /tmp/u
!cp ../input/scrape-fuaimeanna-private/wav/*s2.wav /tmp/m
!cp ../input/scrape-fuaimeanna-private/wav/*s3.wav /tmp/c
%%writefile /tmp/fuaimeanna-write.pl
#!/usr/bin/perl
use warnings;
use strict;
use utf8;
binmode(STDIN, ":utf8");
binmode(STDOUT, ":utf8");
binmode(STDERR, ":utf8");
my %cr_files = (
'mo shmidiú' => 'mo chuid smidiú',
'mo shmior' => 'mo chuid smior',
'mo shmólach' => 'mo smólach',
'shmachtaigh' => 'smachtaigh',
'shmaoinigh' => 'smaoinigh',
'shmear' => 'smear',
'deamhain' => 'diabhail',
'folach' => 'i bhfolach',
'captaen' => 'caiptín',
'oirthe' => 'feilte',
);
my %empty = (
'/sounds/gob_i3_s3.mp3' => 1,
'/sounds/iioctha_i3_s3.mp3' => 1,
'/sounds/mo_shuiiochaan_i3_s3.mp3' => 1,
'/sounds/riail_i3_s3.mp3' => 1
);
open(LEXM, '>>', '/tmp/lexicon-munster.raw');
binmode LEXM, ':utf8';
open(LEXU, '>>', '/tmp/lexicon-ulster.raw');
binmode LEXU, ':utf8';
open(LEXC, '>>', '/tmp/lexicon-connaught.raw');
binmode LEXC, ':utf8';
sub write_text {
my $file = shift;
my $text = shift;
open(OUTF, '>>', $file);
binmode OUTF, ':utf8';
print OUTF $text;
close OUTF;
}
sub write_pron {
my $file = shift;
my $text = shift;
my $pron = shift;
if ($text eq 'ar tí') {
$pron =~ s/ \. ˈ / # /g;
}
$pron =~ s/ [ˈˌ] / /g;
$pron =~ s/^[ˈˌ] //g;
$pron =~ s/ \. / /g;
my @words = split/ /, $text;
my @prons = split/ \# /, $pron;
if($#words != $#prons) {
print STDERR "ERROR: $file $text $pron\n";
}
if($#words == 0) {
print $file "$text $pron\n";
} else {
for(my $i = 0; $i <= $#words; $i++) {
print $file "$words[$i] $prons[$i]\n";
}
}
}
while(<STDIN>) {
chomp;
my @line = split/\t/;
next if($line[0] eq 'Orthographic');
my $text = lc($line[0]);
next if($line[0] eq "d'fhág");
my $uout = $line[1];
$uout =~ s!/sounds/!!;
$uout =~ s/\.mp3$/.txt/;
my $cout = $line[3];
$cout =~ s!/sounds/!!;
$cout =~ s/\.mp3$/.txt/;
my $mout = $line[5];
$mout =~ s!/sounds/!!;
$mout =~ s/\.mp3$/.txt/;
$uout = '/tmp/u/' . $uout;
$cout = '/tmp/c/' . $cout;
$mout = '/tmp/m/' . $mout;
my $pronu = $line[2];
my $pronc = $line[4];
my $pronm = $line[6];
if($text eq 'Gaeilge') {
write_text($uout, "gaeilic");
write_text($cout, "gaeilge");
write_text($mout, "gaelainn");
write_pron(\*LEXU, "gaeilic", $pronu);
write_pron(\*LEXC, "gaeilge", $pronc);
write_pron(\*LEXM, "gaelainn", $pronm);
next;
}
if($line[0] eq 'bocht' || $line[0] eq 'teacht' || $line[0] eq 'teocht') {
$pronu =~ s/x t̪ˠ/ɾˠ t̪ˠ/;
}
write_text($uout, $text);
write_pron(\*LEXU, $text, $pronu);
write_text($mout, $text);
write_pron(\*LEXM, $text, $pronm);
if(!exists $empty{$line[3]}) {
my $cfix = exists $cr_files{$text} ? $cr_files{$text} : $text;
write_text($cout, $cfix);
write_pron(\*LEXC, $cfix, $pronc);
}
}
Writing /tmp/fuaimeanna-write.pl
!cat ../input/scrape-fuaimeanna-private/all-fuaimeanna-data.tsv | perl /tmp/fuaimeanna-write.pl
!cat /tmp/lexicon-connaught.raw | sort | uniq > /tmp/lexicon-connaught.txt
!cat /tmp/lexicon-ulster.raw | sort | uniq > /tmp/lexicon-ulster.txt
!cat /tmp/lexicon-munster.raw | sort | uniq > /tmp/lexicon-munster.txt
!cat /tmp/lexicon-connaught.raw /tmp/lexicon-ulster.raw /tmp/lexicon-munster.raw | sort | uniq > /tmp/lexicon-all.txt
!mkdir /tmp/all
!cp /tmp/c/* /tmp/all
!cp /tmp/m/* /tmp/all
!cp /tmp/u/* /tmp/all
!mkdir /tmp/mfa-temp
Aha. Was pinned to an old environment.
!conda config --remove channels rapidsai
!conda install montreal-forced-aligner -y -c conda-forge
!mfa train -t /tmp/mfa-temp --output_directory /tmp/textgrid-munster /tmp/m /tmp/lexicon-munster.txt ./munster-model
!mfa train -t /tmp/mfa-temp --output_directory /tmp/textgrid-ulster /tmp/u /tmp/lexicon-ulster.txt ./ulster-model
!mfa train -t /tmp/mfa-temp --output_directory /tmp/textgrid-connaught /tmp/c /tmp/lexicon-connaught.txt ./connaught-model
!mfa train -t /tmp/mfa-temp --output_directory /tmp/textgrid-all /tmp/all /tmp/lexicon-all.txt ./all-model
!mfa train_g2p -t /tmp/mfa-temp /tmp/lexicon-ulster.txt ./g2p-ulster
!mfa train_g2p -t /tmp/mfa-temp /tmp/lexicon-munster.txt ./g2p-munster
!mfa train_g2p -t /tmp/mfa-temp /tmp/lexicon-connaught.txt ./g2p-connaught
!mfa train_g2p -t /tmp/mfa-temp /tmp/lexicon-all.txt ./g2p-all
Retrieving notices: ...working... done
Collecting package metadata (current_repodata.json): \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | done
Solving environment: - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - 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Retrying with flexible solve.
Solving environment: - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - 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\ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / unsuccessful attempt using repodata from current_repodata.json, retrying with next repodata source.
Collecting package metadata (repodata.json): \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / done
Solving environment: \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - 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\ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - 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\ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ done
## Package Plan ##
environment location: /opt/conda
added / updated specs:
- montreal-forced-aligner
The following packages will be downloaded:
package | build
---------------------------|-----------------
aom-3.5.0 | h27087fc_0 2.7 MB conda-forge
audioread-3.0.0 | py310hff52083_1 34 KB conda-forge
baumwelch-0.3.7 | hf52228f_4 362 KB conda-forge
biopython-1.79 | py310h5764c6d_3 2.7 MB conda-forge
click-8.1.4 |unix_pyh707e725_0 83 KB conda-forge
cython-0.29.36 | py310hc6cd4ac_0 2.0 MB conda-forge
dataclassy-1.0.1 | pyhd8ed1ab_0 31 KB conda-forge
dav1d-1.2.1 | hd590300_0 742 KB conda-forge
ffmpeg-6.0.0 | gpl_hdbbbd96_103 9.4 MB conda-forge
gnutls-3.7.8 | hf3e180e_0 2.2 MB conda-forge
greenlet-2.0.2 | py310hc6cd4ac_1 186 KB conda-forge
hdbscan-0.8.30 | py310h278f3c1_0 504 KB conda-forge
implicit-0.5.2 | py310h013f86e_1 15.6 MB conda-forge
joblib-1.3.0 | pyhd8ed1ab_1 216 KB conda-forge
kaldi-5.5.1068 | cpu_h05f3a92_1 20.0 MB conda-forge
kneed-0.8.3 | pyhd8ed1ab_0 15 KB conda-forge
lazy_loader-0.2 | pyhd8ed1ab_0 13 KB conda-forge
libass-0.17.1 | hc9aadba_0 123 KB conda-forge
libdrm-2.4.114 | h166bdaf_0 298 KB conda-forge
libidn2-2.3.4 | h166bdaf_0 157 KB conda-forge
liblapacke-3.9.0 |17_linux64_openblas 14 KB conda-forge
libllvm14-14.0.6 | hcd5def8_3 29.9 MB conda-forge
libpciaccess-0.17 | h166bdaf_0 39 KB conda-forge
librosa-0.10.0 | pyhd8ed1ab_1 188 KB conda-forge
libtasn1-4.19.0 | h166bdaf_0 114 KB conda-forge
libunistring-0.9.10 | h7f98852_0 1.4 MB conda-forge
libva-2.19.0 | hd590300_0 183 KB conda-forge
libvpx-1.13.0 | hcb278e6_0 964 KB conda-forge
llvmlite-0.40.1 | py310h1b8f574_0 2.4 MB conda-forge
mad-0.15.1b | h9c3ff4c_1 113 KB conda-forge
markdown-it-py-3.0.0 | pyhd8ed1ab_0 63 KB conda-forge
mdurl-0.1.0 | pyhd8ed1ab_0 13 KB conda-forge
montreal-forced-aligner-2.2.15| pyhd8ed1ab_0 224 KB conda-forge
msgpack-python-1.0.5 | py310hdf3cbec_0 83 KB conda-forge
nettle-3.8.1 | hc379101_1 1.1 MB conda-forge
ngram-1.3.14 | h924138e_2 3.4 MB conda-forge
numba-0.57.1 | py310h0f6aa51_0 4.0 MB conda-forge
numpy-1.24.4 | py310ha4c1d20_0 6.4 MB conda-forge
openfst-1.8.2 | h924138e_2 7.4 MB conda-forge
openh264-2.3.1 | hcb278e6_2 702 KB conda-forge
p11-kit-0.24.1 | hc5aa10d_0 4.5 MB conda-forge
pandas-2.0.3 | py310h7cbd5c2_1 11.7 MB conda-forge
patsy-0.5.3 | pyhd8ed1ab_0 189 KB conda-forge
pgvector-0.4.4 | he295718_0 41 KB conda-forge
pgvector-python-0.1.8 | pyhb2dc1fd_0 13 KB conda-forge
postgresql-15.3 | hd458b1d_1 4.9 MB conda-forge
praatio-6.0.0 | pyhd8ed1ab_0 60 KB conda-forge
psycopg2-2.9.6 | py310h76c1b15_0 170 KB conda-forge
pynini-2.1.5 | py310hbf28c38_5 1.5 MB conda-forge
pysoundfile-0.12.1 | pyhd8ed1ab_0 27 KB conda-forge
python-tzdata-2023.3 | pyhd8ed1ab_0 140 KB conda-forge
pytz-2023.3 | pyhd8ed1ab_0 182 KB conda-forge
rich-13.4.2 | pyhd8ed1ab_0 179 KB conda-forge
rich-click-1.6.1 | pyhd8ed1ab_0 22 KB conda-forge
scikit-learn-1.2.2 | py310hf7d194e_2 7.3 MB conda-forge
seaborn-0.12.2 | hd8ed1ab_0 6 KB conda-forge
seaborn-base-0.12.2 | pyhd8ed1ab_0 226 KB conda-forge
sox-14.4.2 | ha5cc309_1018 499 KB conda-forge
soxr-0.1.3 | h0b41bf4_3 128 KB conda-forge
soxr-python-0.3.5 | py310h278f3c1_0 259 KB conda-forge
sqlalchemy-2.0.18 | py310h2372a71_0 2.5 MB conda-forge
statsmodels-0.14.0 | py310h278f3c1_1 10.1 MB conda-forge
svt-av1-1.6.0 | h59595ed_0 2.5 MB conda-forge
threadpoolctl-3.1.0 | pyh8a188c0_0 18 KB conda-forge
tzcode-2023c | h0b41bf4_0 67 KB conda-forge
x264-1!164.3095 | h166bdaf_2 877 KB conda-forge
x265-3.5 | h924138e_3 3.2 MB conda-forge
------------------------------------------------------------
Total: 167.2 MB
The following NEW packages will be INSTALLED:
aom conda-forge/linux-64::aom-3.5.0-h27087fc_0
audioread conda-forge/linux-64::audioread-3.0.0-py310hff52083_1
baumwelch conda-forge/linux-64::baumwelch-0.3.7-hf52228f_4
biopython conda-forge/linux-64::biopython-1.79-py310h5764c6d_3
click conda-forge/noarch::click-8.1.4-unix_pyh707e725_0
cython conda-forge/linux-64::cython-0.29.36-py310hc6cd4ac_0
dataclassy conda-forge/noarch::dataclassy-1.0.1-pyhd8ed1ab_0
dav1d conda-forge/linux-64::dav1d-1.2.1-hd590300_0
ffmpeg conda-forge/linux-64::ffmpeg-6.0.0-gpl_hdbbbd96_103
gnutls conda-forge/linux-64::gnutls-3.7.8-hf3e180e_0
greenlet conda-forge/linux-64::greenlet-2.0.2-py310hc6cd4ac_1
hdbscan conda-forge/linux-64::hdbscan-0.8.30-py310h278f3c1_0
joblib conda-forge/noarch::joblib-1.3.0-pyhd8ed1ab_1
kaldi conda-forge/linux-64::kaldi-5.5.1068-cpu_h05f3a92_1
kneed conda-forge/noarch::kneed-0.8.3-pyhd8ed1ab_0
lazy_loader conda-forge/noarch::lazy_loader-0.2-pyhd8ed1ab_0
libass conda-forge/linux-64::libass-0.17.1-hc9aadba_0
libdrm conda-forge/linux-64::libdrm-2.4.114-h166bdaf_0
libidn2 conda-forge/linux-64::libidn2-2.3.4-h166bdaf_0
liblapacke conda-forge/linux-64::liblapacke-3.9.0-17_linux64_openblas
libllvm14 conda-forge/linux-64::libllvm14-14.0.6-hcd5def8_3
libpciaccess conda-forge/linux-64::libpciaccess-0.17-h166bdaf_0
librosa conda-forge/noarch::librosa-0.10.0-pyhd8ed1ab_1
libtasn1 conda-forge/linux-64::libtasn1-4.19.0-h166bdaf_0
libunistring conda-forge/linux-64::libunistring-0.9.10-h7f98852_0
libva conda-forge/linux-64::libva-2.19.0-hd590300_0
libvpx conda-forge/linux-64::libvpx-1.13.0-hcb278e6_0
llvmlite conda-forge/linux-64::llvmlite-0.40.1-py310h1b8f574_0
mad conda-forge/linux-64::mad-0.15.1b-h9c3ff4c_1
markdown-it-py conda-forge/noarch::markdown-it-py-3.0.0-pyhd8ed1ab_0
mdurl conda-forge/noarch::mdurl-0.1.0-pyhd8ed1ab_0
montreal-forced-a~ conda-forge/noarch::montreal-forced-aligner-2.2.15-pyhd8ed1ab_0
msgpack-python conda-forge/linux-64::msgpack-python-1.0.5-py310hdf3cbec_0
nettle conda-forge/linux-64::nettle-3.8.1-hc379101_1
ngram conda-forge/linux-64::ngram-1.3.14-h924138e_2
numba conda-forge/linux-64::numba-0.57.1-py310h0f6aa51_0
openfst conda-forge/linux-64::openfst-1.8.2-h924138e_2
openh264 conda-forge/linux-64::openh264-2.3.1-hcb278e6_2
p11-kit conda-forge/linux-64::p11-kit-0.24.1-hc5aa10d_0
pandas conda-forge/linux-64::pandas-2.0.3-py310h7cbd5c2_1
patsy conda-forge/noarch::patsy-0.5.3-pyhd8ed1ab_0
pgvector conda-forge/linux-64::pgvector-0.4.4-he295718_0
pgvector-python conda-forge/noarch::pgvector-python-0.1.8-pyhb2dc1fd_0
postgresql conda-forge/linux-64::postgresql-15.3-hd458b1d_1
praatio conda-forge/noarch::praatio-6.0.0-pyhd8ed1ab_0
psycopg2 conda-forge/linux-64::psycopg2-2.9.6-py310h76c1b15_0
pynini conda-forge/linux-64::pynini-2.1.5-py310hbf28c38_5
pysoundfile conda-forge/noarch::pysoundfile-0.12.1-pyhd8ed1ab_0
python-tzdata conda-forge/noarch::python-tzdata-2023.3-pyhd8ed1ab_0
pytz conda-forge/noarch::pytz-2023.3-pyhd8ed1ab_0
rich conda-forge/noarch::rich-13.4.2-pyhd8ed1ab_0
rich-click conda-forge/noarch::rich-click-1.6.1-pyhd8ed1ab_0
scikit-learn conda-forge/linux-64::scikit-learn-1.2.2-py310hf7d194e_2
seaborn conda-forge/noarch::seaborn-0.12.2-hd8ed1ab_0
seaborn-base conda-forge/noarch::seaborn-base-0.12.2-pyhd8ed1ab_0
sox conda-forge/linux-64::sox-14.4.2-ha5cc309_1018
soxr conda-forge/linux-64::soxr-0.1.3-h0b41bf4_3
soxr-python conda-forge/linux-64::soxr-python-0.3.5-py310h278f3c1_0
sqlalchemy conda-forge/linux-64::sqlalchemy-2.0.18-py310h2372a71_0
statsmodels conda-forge/linux-64::statsmodels-0.14.0-py310h278f3c1_1
svt-av1 conda-forge/linux-64::svt-av1-1.6.0-h59595ed_0
threadpoolctl conda-forge/noarch::threadpoolctl-3.1.0-pyh8a188c0_0
tzcode conda-forge/linux-64::tzcode-2023c-h0b41bf4_0
x264 conda-forge/linux-64::x264-1!164.3095-h166bdaf_2
x265 conda-forge/linux-64::x265-3.5-h924138e_3
The following packages will be DOWNGRADED:
implicit 0.7.0-py310h552f1b7_6 --> 0.5.2-py310h013f86e_1
numpy 1.25.0-py310ha4c1d20_0 --> 1.24.4-py310ha4c1d20_0
Downloading and Extracting Packages
libva-2.19.0 | 183 KB | | 0%
nettle-3.8.1 | 1.1 MB | | 0%
joblib-1.3.0 | 216 KB | | 0%
seaborn-base-0.12.2 | 226 KB | | 0%
soxr-0.1.3 | 128 KB | | 0%
markdown-it-py-3.0.0 | 63 KB | | 0%
baumwelch-0.3.7 | 362 KB | | 0%
psycopg2-2.9.6 | 170 KB | | 0%
msgpack-python-1.0.5 | 83 KB | | 0%
x264-1!164.3095 | 877 KB | | 0%
llvmlite-0.40.1 | 2.4 MB | | 0%
cython-0.29.36 | 2.0 MB | | 0%
dataclassy-1.0.1 | 31 KB | | 0%
libpciaccess-0.17 | 39 KB | | 0%
libvpx-1.13.0 | 964 KB | | 0%
libass-0.17.1 | 123 KB | | 0%
rich-click-1.6.1 | 22 KB | | 0%
mdurl-0.1.0 | 13 KB | | 0%
pysoundfile-0.12.1 | 27 KB | | 0%
patsy-0.5.3 | 189 KB | | 0%
hdbscan-0.8.30 | 504 KB | | 0%
sox-14.4.2 | 499 KB | | 0%
libdrm-2.4.114 | 298 KB | | 0%
libva-2.19.0 | 183 KB | ###2 | 9%
nettle-3.8.1 | 1.1 MB | 5 | 1%
joblib-1.3.0 | 216 KB | ##7 | 7%
seaborn-base-0.12.2 | 226 KB | ##6 | 7%
soxr-0.1.3 | 128 KB | ####6 | 12%
markdown-it-py-3.0.0 | 63 KB | #########4 | 25%
msgpack-python-1.0.5 | 83 KB | #######1 | 19%
nettle-3.8.1 | 1.1 MB | ###############################9 | 86%
psycopg2-2.9.6 | 170 KB | ###4 | 9%
baumwelch-0.3.7 | 362 KB | #6 | 4%
x264-1!164.3095 | 877 KB | 6 | 2%
llvmlite-0.40.1 | 2.4 MB | 2 | 1%
cython-0.29.36 | 2.0 MB | 2 | 1%
libva-2.19.0 | 183 KB | ##################################### | 100%
dataclassy-1.0.1 | 31 KB | ###################1 | 52%
libvpx-1.13.0 | 964 KB | 6 | 2%
libass-0.17.1 | 123 KB | ####8 | 13%
rich-click-1.6.1 | 22 KB | ##########################7 | 72%
llvmlite-0.40.1 | 2.4 MB | ##################1 | 49%
cython-0.29.36 | 2.0 MB | ############################### | 84%
mdurl-0.1.0 | 13 KB | ##################################### | 100%
pysoundfile-0.12.1 | 27 KB | #####################5 | 58%
patsy-0.5.3 | 189 KB | ###1 | 8%
sox-14.4.2 | 499 KB | #1 | 3%
libdrm-2.4.114 | 298 KB | #9 | 5%
... (more hidden) ...
hdbscan-0.8.30 | 504 KB | #1 | 3%
seaborn-base-0.12.2 | 226 KB | ##################################### | 100%
seaborn-base-0.12.2 | 226 KB | ##################################### | 100%
markdown-it-py-3.0.0 | 63 KB | ##################################### | 100%
markdown-it-py-3.0.0 | 63 KB | ##################################### | 100%
soxr-0.1.3 | 128 KB | ##################################### | 100%
soxr-0.1.3 | 128 KB | ##################################### | 100%
joblib-1.3.0 | 216 KB | ##################################### | 100%
joblib-1.3.0 | 216 KB | ##################################### | 100%
msgpack-python-1.0.5 | 83 KB | ##################################### | 100%
msgpack-python-1.0.5 | 83 KB | ##################################### | 100%
psycopg2-2.9.6 | 170 KB | ##################################### | 100%
psycopg2-2.9.6 | 170 KB | ##################################### | 100%
baumwelch-0.3.7 | 362 KB | ##################################### | 100%
baumwelch-0.3.7 | 362 KB | ##################################### | 100%
libpciaccess-0.17 | 39 KB | ##################################### | 100%
libpciaccess-0.17 | 39 KB | ##################################### | 100%
dataclassy-1.0.1 | 31 KB | ##################################### | 100%
dataclassy-1.0.1 | 31 KB | ##################################### | 100%
libass-0.17.1 | 123 KB | ##################################### | 100%
libass-0.17.1 | 123 KB | ##################################### | 100%
rich-click-1.6.1 | 22 KB | ##################################### | 100%
rich-click-1.6.1 | 22 KB | ##################################### | 100%
mdurl-0.1.0 | 13 KB | ##################################### | 100%
x264-1!164.3095 | 877 KB | ##################################### | 100%
x264-1!164.3095 | 877 KB | ##################################### | 100%
pysoundfile-0.12.1 | 27 KB | ##################################### | 100%
pysoundfile-0.12.1 | 27 KB | ##################################### | 100%
nettle-3.8.1 | 1.1 MB | ##################################### | 100%
libvpx-1.13.0 | 964 KB | ##################################### | 100%
libvpx-1.13.0 | 964 KB | ##################################### | 100%
patsy-0.5.3 | 189 KB | ##################################### | 100%
patsy-0.5.3 | 189 KB | ##################################### | 100%
llvmlite-0.40.1 | 2.4 MB | ##################################### | 100%
llvmlite-0.40.1 | 2.4 MB | ##################################### | 100%
libdrm-2.4.114 | 298 KB | ##################################### | 100%
libdrm-2.4.114 | 298 KB | ##################################### | 100%
sox-14.4.2 | 499 KB | ##################################### | 100%
sox-14.4.2 | 499 KB | ##################################### | 100%
hdbscan-0.8.30 | 504 KB | ##################################### | 100%
hdbscan-0.8.30 | 504 KB | ##################################### | 100%
cython-0.29.36 | 2.0 MB | ##################################### | 100%
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Preparing transaction: / - \ | / - \ | / done
Verifying transaction: \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / done
Executing transaction: \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / done
/opt/conda/lib/python3.10/site-packages/scipy/__init__.py:146: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.24.4
warnings.warn(f"A NumPy version >={np_minversion} and <{np_maxversion}"
INFO Setting up corpus information...
INFO Loading corpus from source files...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 527/100 [ 0:00:00 < 0:00:00 , 3,178 it/s ]
INFO Found 1 speaker across 760 files, average number of utterances per
speaker: 760.0
INFO Initializing multiprocessing jobs...
WARNING Number of jobs was specified as 3, but due to only having 1 speakers,
MFA will only use 1 jobs. Use the --single_speaker flag if you would
like to split utterances across jobs regardless of their speaker.
INFO Normalizing text...
11% ━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 82/760 [ 0:00:01 < -:--:-- , ? it/s ]
INFO Creating corpus split for feature generation...
0% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1/1,520 [ 0:00:01 < -:--:-- , ? it/s ]
INFO Generating MFCCs...
98% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 744/760 [ 0:00:15 < 0:00:01 , 157 it/s ]
INFO Calculating CMVN...
INFO Generating final features...
77% ━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━ 586/760 [ 0:00:01 < 0:00:01 , 1,734 it/s ]
INFO Creating corpus split with features...
0% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1/760 [ 0:00:01 < -:--:-- , ? it/s ]
INFO Filtering utterances for training...
INFO Initializing training for monophone...
INFO Compiling training graphs...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 760/760 [ 0:00:00 < 0:00:00 , ? it/s ]
INFO Generating initial alignments...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 760/760 [ 0:00:00 < 0:00:00 , ? it/s ]
INFO Initialization complete!
INFO monophone - Iteration 1 of 40
INFO Generating alignments...
96% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 727/760 [ 0:00:02 < 0:00:01 , 635 it/s ]
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:01 < 0:00:01 , 1,971 it/s ]
INFO monophone - Iteration 2 of 40
INFO Generating alignments...
91% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 693/760 [ 0:00:02 < 0:00:01 , 741 it/s ]
INFO Accumulating statistics...
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INFO monophone - Iteration 3 of 40
INFO Generating alignments...
97% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 738/760 [ 0:00:02 < 0:00:01 , 731 it/s ]
INFO Accumulating statistics...
92% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/760 [ 0:00:01 < 0:00:01 , 1,866 it/s ]
INFO monophone - Iteration 4 of 40
INFO Generating alignments...
95% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━ 720/760 [ 0:00:02 < 0:00:01 , 784 it/s ]
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:01 < 0:00:01 , 1,842 it/s ]
INFO monophone - Iteration 5 of 40
INFO Generating alignments...
93% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 704/760 [ 0:00:02 < 0:00:01 , 774 it/s ]
INFO Accumulating statistics...
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INFO monophone - Iteration 6 of 40
INFO Generating alignments...
95% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━ 722/760 [ 0:00:02 < 0:00:01 , 797 it/s ]
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:01 < 0:00:01 , 1,814 it/s ]
INFO monophone - Iteration 7 of 40
INFO Generating alignments...
97% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 734/760 [ 0:00:02 < 0:00:01 , 776 it/s ]
INFO Accumulating statistics...
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INFO monophone - Iteration 8 of 40
INFO Generating alignments...
96% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 727/760 [ 0:00:02 < 0:00:01 , 797 it/s ]
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:01 < 0:00:01 , 1,626 it/s ]
INFO monophone - Iteration 9 of 40
INFO Generating alignments...
93% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 706/760 [ 0:00:02 < 0:00:01 , 765 it/s ]
INFO Accumulating statistics...
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INFO monophone - Iteration 10 of 40
INFO Generating alignments...
98% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 747/760 [ 0:00:02 < 0:00:01 , 809 it/s ]
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:01 < 0:00:01 , 1,766 it/s ]
INFO monophone - Iteration 11 of 40
INFO Accumulating statistics...
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INFO monophone - Iteration 12 of 40
INFO Generating alignments...
92% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 700/760 [ 0:00:02 < 0:00:01 , 769 it/s ]
INFO Accumulating statistics...
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INFO monophone - Iteration 13 of 40
INFO Accumulating statistics...
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INFO monophone - Iteration 14 of 40
INFO Generating alignments...
91% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 689/760 [ 0:00:02 < 0:00:01 , 749 it/s ]
INFO Accumulating statistics...
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INFO monophone - Iteration 15 of 40
INFO Accumulating statistics...
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INFO monophone - Iteration 16 of 40
INFO Generating alignments...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 756/760 [ 0:00:02 < 0:00:01 , 742 it/s ]
INFO Accumulating statistics...
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INFO monophone - Iteration 17 of 40
INFO Accumulating statistics...
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INFO monophone - Iteration 18 of 40
INFO Generating alignments...
94% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 711/760 [ 0:00:02 < 0:00:01 , 751 it/s ]
INFO Accumulating statistics...
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INFO monophone - Iteration 19 of 40
INFO Accumulating statistics...
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INFO monophone - Iteration 20 of 40
INFO Generating alignments...
96% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 728/760 [ 0:00:02 < 0:00:01 , 712 it/s ]
INFO Accumulating statistics...
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INFO monophone - Iteration 21 of 40
INFO Accumulating statistics...
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INFO monophone - Iteration 22 of 40
INFO Accumulating statistics...
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INFO monophone - Iteration 23 of 40
INFO Generating alignments...
95% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━ 722/760 [ 0:00:02 < 0:00:01 , 706 it/s ]
INFO Accumulating statistics...
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INFO monophone - Iteration 24 of 40
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INFO monophone - Iteration 26 of 40
INFO Generating alignments...
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INFO monophone - Iteration 27 of 40
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INFO monophone - Iteration 28 of 40
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INFO monophone - Iteration 29 of 40
INFO Generating alignments...
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INFO Generating alignments...
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INFO monophone - Iteration 35 of 40
INFO Generating alignments...
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INFO monophone - Iteration 36 of 40
INFO Accumulating statistics...
92% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/760 [ 0:00:01 < 0:00:01 , 1,394 it/s ]
INFO monophone - Iteration 37 of 40
INFO Accumulating statistics...
92% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/760 [ 0:00:01 < 0:00:01 , 1,372 it/s ]
INFO monophone - Iteration 38 of 40
INFO Generating alignments...
98% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 746/760 [ 0:00:02 < 0:00:01 , 665 it/s ]
INFO Accumulating statistics...
92% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/760 [ 0:00:01 < 0:00:01 , 1,387 it/s ]
INFO monophone - Iteration 39 of 40
INFO Accumulating statistics...
92% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/760 [ 0:00:01 < 0:00:01 , 1,403 it/s ]
INFO monophone - Iteration 40 of 40
INFO Accumulating statistics...
92% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/760 [ 0:00:01 < 0:00:01 , 1,329 it/s ]
INFO Training complete!
INFO Compiling training graphs...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 760/760 [ 0:00:00 < 0:00:00 , ? it/s ]
INFO Generating alignments...
97% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 740/760 [ 0:00:02 < 0:00:01 , 659 it/s ]
INFO Initializing training for triphone...
INFO Compiling training graphs...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 760/760 [ 0:00:00 < 0:00:00 , ? it/s ]
INFO Converting alignments...
0% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0/760 [ 0:00:01 < -:--:-- , ? it/s ]
INFO Initialization complete!
INFO triphone - Iteration 1 of 35
INFO Accumulating statistics...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 760/760 [ 0:00:00 < 0:00:00 , 1,098 it/s ]
INFO triphone - Iteration 2 of 35
INFO Accumulating statistics...
92% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/760 [ 0:00:01 < 0:00:01 , 1,108 it/s ]
INFO triphone - Iteration 3 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:01 < 0:00:01 , 907 it/s ]
INFO triphone - Iteration 4 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:02 < 0:00:01 , 670 it/s ]
INFO triphone - Iteration 5 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:02 < 0:00:01 , 515 it/s ]
INFO triphone - Iteration 6 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:02 < 0:00:01 , 431 it/s ]
INFO triphone - Iteration 7 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:03 < 0:00:01 , 326 it/s ]
INFO triphone - Iteration 8 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:04 < 0:00:01 , 243 it/s ]
INFO triphone - Iteration 9 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:04 < 0:00:01 , 196 it/s ]
INFO triphone - Iteration 10 of 35
INFO Generating alignments...
98% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 745/760 [ 0:00:05 < 0:00:01 , 177 it/s ]
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:05 < 0:00:01 , 161 it/s ]
INFO triphone - Iteration 11 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:07 < 0:00:01 , 126 it/s ]
INFO triphone - Iteration 12 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 138 it/s ]
INFO triphone - Iteration 13 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 135 it/s ]
INFO triphone - Iteration 14 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 134 it/s ]
INFO triphone - Iteration 15 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 133 it/s ]
INFO triphone - Iteration 16 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 129 it/s ]
INFO triphone - Iteration 17 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 131 it/s ]
INFO triphone - Iteration 18 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 129 it/s ]
INFO triphone - Iteration 19 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:07 < 0:00:01 , 127 it/s ]
INFO triphone - Iteration 20 of 35
INFO Generating alignments...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 753/760 [ 0:00:05 < 0:00:01 , 175 it/s ]
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:07 < 0:00:01 , 127 it/s ]
INFO triphone - Iteration 21 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 128 it/s ]
INFO triphone - Iteration 22 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:07 < 0:00:01 , 126 it/s ]
INFO triphone - Iteration 23 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:07 < 0:00:01 , 125 it/s ]
INFO triphone - Iteration 24 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:07 < 0:00:01 , 125 it/s ]
INFO triphone - Iteration 25 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:07 < 0:00:01 , 126 it/s ]
INFO triphone - Iteration 26 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:07 < 0:00:01 , 124 it/s ]
INFO triphone - Iteration 27 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:07 < 0:00:01 , 124 it/s ]
INFO triphone - Iteration 28 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:07 < 0:00:01 , 125 it/s ]
INFO triphone - Iteration 29 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:07 < 0:00:01 , 125 it/s ]
INFO triphone - Iteration 30 of 35
INFO Generating alignments...
98% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 748/760 [ 0:00:05 < 0:00:01 , 174 it/s ]
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:07 < 0:00:01 , 121 it/s ]
INFO triphone - Iteration 31 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:07 < 0:00:01 , 126 it/s ]
INFO triphone - Iteration 32 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:07 < 0:00:01 , 124 it/s ]
INFO triphone - Iteration 33 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:07 < 0:00:01 , 124 it/s ]
INFO triphone - Iteration 34 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:07 < 0:00:01 , 123 it/s ]
INFO triphone - Iteration 35 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:07 < 0:00:01 , 121 it/s ]
INFO Training complete!
INFO Compiling training graphs...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 760/760 [ 0:00:00 < 0:00:00 , ? it/s ]
INFO Generating alignments...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 753/760 [ 0:00:05 < 0:00:01 , 166 it/s ]
INFO Initializing training for lda...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 760/760 [ 0:00:00 < 0:00:00 , ? it/s ]
INFO Compiling training graphs...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 760/760 [ 0:00:00 < 0:00:00 , ? it/s ]
INFO Converting alignments...
0% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0/760 [ 0:00:01 < -:--:-- , ? it/s ]
INFO Initialization complete!
INFO lda - Iteration 1 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:01 < 0:00:01 , 1,786 it/s ]
INFO lda - Iteration 2 of 35
INFO Re-calculating LDA...
84% ━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━ 640/760 [ 0:00:01 < 0:00:01 , 1,899 it/s ]
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:02 < 0:00:01 , 742 it/s ]
INFO lda - Iteration 3 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:02 < 0:00:01 , 487 it/s ]
INFO lda - Iteration 4 of 35
INFO Re-calculating LDA...
88% ━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━ 666/760 [ 0:00:01 < 0:00:01 , 1,508 it/s ]
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:03 < 0:00:01 , 350 it/s ]
INFO lda - Iteration 5 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:04 < 0:00:01 , 223 it/s ]
INFO lda - Iteration 6 of 35
INFO Re-calculating LDA...
86% ━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━ 650/760 [ 0:00:01 < 0:00:01 , 1,918 it/s ]
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:05 < 0:00:01 , 168 it/s ]
INFO lda - Iteration 7 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 146 it/s ]
INFO lda - Iteration 8 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 140 it/s ]
INFO lda - Iteration 9 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 138 it/s ]
INFO lda - Iteration 10 of 35
INFO Generating alignments...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 754/760 [ 0:00:05 < 0:00:01 , 171 it/s ]
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 148 it/s ]
INFO lda - Iteration 11 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 151 it/s ]
INFO lda - Iteration 12 of 35
INFO Re-calculating LDA...
83% ━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━ 632/760 [ 0:00:01 < 0:00:01 , 1,870 it/s ]
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 149 it/s ]
INFO lda - Iteration 13 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 150 it/s ]
INFO lda - Iteration 14 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:05 < 0:00:01 , 154 it/s ]
INFO lda - Iteration 15 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 153 it/s ]
INFO lda - Iteration 16 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 152 it/s ]
INFO lda - Iteration 17 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 153 it/s ]
INFO lda - Iteration 18 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 148 it/s ]
INFO lda - Iteration 19 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 150 it/s ]
INFO lda - Iteration 20 of 35
INFO Generating alignments...
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INFO Accumulating statistics...
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INFO lda - Iteration 21 of 35
INFO Accumulating statistics...
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INFO lda - Iteration 22 of 35
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INFO lda - Iteration 23 of 35
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INFO lda - Iteration 24 of 35
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INFO lda - Iteration 25 of 35
INFO Accumulating statistics...
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INFO lda - Iteration 26 of 35
INFO Accumulating statistics...
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INFO lda - Iteration 27 of 35
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INFO lda - Iteration 28 of 35
INFO Accumulating statistics...
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INFO lda - Iteration 29 of 35
INFO Accumulating statistics...
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INFO lda - Iteration 30 of 35
INFO Generating alignments...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 752/760 [ 0:00:04 < 0:00:01 , 207 it/s ]
INFO Accumulating statistics...
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INFO lda - Iteration 31 of 35
INFO Accumulating statistics...
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INFO lda - Iteration 32 of 35
INFO Accumulating statistics...
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INFO lda - Iteration 33 of 35
INFO Accumulating statistics...
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INFO lda - Iteration 34 of 35
INFO Accumulating statistics...
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INFO lda - Iteration 35 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 146 it/s ]
INFO Training complete!
INFO Compiling training graphs...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 760/760 [ 0:00:00 < 0:00:00 , ? it/s ]
INFO Generating alignments...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 751/760 [ 0:00:05 < 0:00:01 , 183 it/s ]
INFO Initializing training for sat...
INFO Calculating fMLLR for speaker adaptation...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1/1 [ 0:00:00 < 0:00:00 , ? it/s ]
INFO Converting alignments...
0% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0/760 [ 0:00:01 < -:--:-- , ? it/s ]
INFO Compiling training graphs...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 760/760 [ 0:00:00 < 0:00:00 , ? it/s ]
INFO Initialization complete!
INFO sat - Iteration 1 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:01 < 0:00:01 , 1,364 it/s ]
INFO sat - Iteration 2 of 35
INFO Calculating fMLLR for speaker adaptation...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1/1 [ 0:00:01 < 0:00:00 , ? it/s ]
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:03 < 0:00:01 , 306 it/s ]
INFO sat - Iteration 3 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:04 < 0:00:01 , 231 it/s ]
INFO sat - Iteration 4 of 35
INFO Calculating fMLLR for speaker adaptation...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1/1 [ 0:00:00 < 0:00:00 , ? it/s ]
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:05 < 0:00:01 , 167 it/s ]
INFO sat - Iteration 5 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 154 it/s ]
INFO sat - Iteration 6 of 35
INFO Calculating fMLLR for speaker adaptation...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1/1 [ 0:00:00 < 0:00:00 , ? it/s ]
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 154 it/s ]
INFO sat - Iteration 7 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 149 it/s ]
INFO sat - Iteration 8 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 152 it/s ]
INFO sat - Iteration 9 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 148 it/s ]
INFO sat - Iteration 10 of 35
INFO Generating alignments...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 752/760 [ 0:00:05 < 0:00:01 , 170 it/s ]
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 151 it/s ]
INFO sat - Iteration 11 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 138 it/s ]
INFO sat - Iteration 12 of 35
INFO Calculating fMLLR for speaker adaptation...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1/1 [ 0:00:00 < 0:00:00 , ? it/s ]
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 149 it/s ]
INFO sat - Iteration 13 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 149 it/s ]
INFO sat - Iteration 14 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 148 it/s ]
INFO sat - Iteration 15 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 146 it/s ]
INFO sat - Iteration 16 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 149 it/s ]
INFO sat - Iteration 17 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 147 it/s ]
INFO sat - Iteration 18 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 146 it/s ]
INFO sat - Iteration 19 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 148 it/s ]
INFO sat - Iteration 20 of 35
INFO Generating alignments...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 751/760 [ 0:00:05 < 0:00:01 , 195 it/s ]
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 148 it/s ]
INFO sat - Iteration 21 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 148 it/s ]
INFO sat - Iteration 22 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 146 it/s ]
INFO sat - Iteration 23 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 152 it/s ]
INFO sat - Iteration 24 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 144 it/s ]
INFO sat - Iteration 25 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 148 it/s ]
INFO sat - Iteration 26 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 149 it/s ]
INFO sat - Iteration 27 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 144 it/s ]
INFO sat - Iteration 28 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 147 it/s ]
INFO sat - Iteration 29 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 148 it/s ]
INFO sat - Iteration 30 of 35
INFO Generating alignments...
98% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 741/760 [ 0:00:05 < 0:00:01 , 198 it/s ]
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 148 it/s ]
INFO sat - Iteration 31 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 143 it/s ]
INFO sat - Iteration 32 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 146 it/s ]
INFO sat - Iteration 33 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 147 it/s ]
INFO sat - Iteration 34 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 143 it/s ]
INFO sat - Iteration 35 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 148 it/s ]
INFO Creating alignment model for speaker-independent features...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 758/760 [ 0:00:06 < 0:00:01 , 140 it/s ]
INFO Training complete!
INFO Compiling training graphs...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 760/760 [ 0:00:00 < 0:00:00 , ? it/s ]
INFO Generating alignments...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 749/760 [ 0:00:05 < 0:00:01 , 205 it/s ]
INFO Calculating fMLLR for speaker adaptation...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1/1 [ 0:00:01 < 0:00:00 , ? it/s ]
INFO Generating alignments...
98% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 747/760 [ 0:00:04 < 0:00:01 , 204 it/s ]
INFO Initializing training for sat_2...
INFO Converting alignments...
0% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0/760 [ 0:00:01 < -:--:-- , ? it/s ]
INFO Compiling training graphs...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 760/760 [ 0:00:00 < 0:00:00 , ? it/s ]
INFO Initialization complete!
INFO sat_2 - Iteration 1 of 35
INFO Accumulating statistics...
79% ━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━ 600/760 [ 0:00:01 < 0:00:01 , 1,833 it/s ]
INFO sat_2 - Iteration 2 of 35
INFO Calculating fMLLR for speaker adaptation...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1/1 [ 0:00:00 < 0:00:00 , ? it/s ]
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:05 < 0:00:01 , 162 it/s ]
INFO sat_2 - Iteration 3 of 35
INFO Accumulating statistics...
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INFO sat_2 - Iteration 4 of 35
INFO Calculating fMLLR for speaker adaptation...
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INFO sat_2 - Iteration 5 of 35
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INFO sat_2 - Iteration 6 of 35
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INFO sat_2 - Iteration 7 of 35
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INFO sat_2 - Iteration 8 of 35
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INFO sat_2 - Iteration 9 of 35
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INFO sat_2 - Iteration 10 of 35
INFO Generating alignments...
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INFO sat_2 - Iteration 11 of 35
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INFO sat_2 - Iteration 12 of 35
INFO Calculating fMLLR for speaker adaptation...
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INFO sat_2 - Iteration 13 of 35
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INFO sat_2 - Iteration 14 of 35
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INFO sat_2 - Iteration 15 of 35
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INFO sat_2 - Iteration 16 of 35
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INFO sat_2 - Iteration 20 of 35
INFO Generating alignments...
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INFO sat_2 - Iteration 21 of 35
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INFO sat_2 - Iteration 22 of 35
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INFO sat_2 - Iteration 23 of 35
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INFO sat_2 - Iteration 25 of 35
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INFO sat_2 - Iteration 26 of 35
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INFO sat_2 - Iteration 27 of 35
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INFO sat_2 - Iteration 30 of 35
INFO Generating alignments...
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INFO sat_2 - Iteration 31 of 35
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INFO sat_2 - Iteration 32 of 35
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INFO sat_2 - Iteration 33 of 35
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INFO sat_2 - Iteration 34 of 35
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INFO sat_2 - Iteration 35 of 35
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INFO Creating alignment model for speaker-independent features...
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INFO Training complete!
INFO Compiling training graphs...
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INFO Generating alignments...
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INFO Calculating fMLLR for speaker adaptation...
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INFO Generating alignments...
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INFO Generating pronunciations...
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INFO Compiling training graphs...
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INFO Generating alignments...
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INFO Calculating fMLLR for speaker adaptation...
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INFO Generating alignments...
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INFO Initializing training for sat_3...
INFO Converting alignments...
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INFO Compiling training graphs...
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INFO Initialization complete!
INFO sat_3 - Iteration 1 of 35
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INFO Calculating fMLLR for speaker adaptation...
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INFO sat_3 - Iteration 3 of 35
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INFO sat_3 - Iteration 9 of 35
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INFO sat_3 - Iteration 10 of 35
INFO Generating alignments...
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INFO sat_3 - Iteration 12 of 35
INFO Calculating fMLLR for speaker adaptation...
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INFO Accumulating statistics...
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INFO sat_3 - Iteration 16 of 35
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INFO sat_3 - Iteration 17 of 35
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INFO sat_3 - Iteration 18 of 35
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INFO sat_3 - Iteration 20 of 35
INFO Generating alignments...
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INFO Accumulating statistics...
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INFO sat_3 - Iteration 21 of 35
INFO Accumulating statistics...
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INFO sat_3 - Iteration 22 of 35
INFO Accumulating statistics...
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INFO sat_3 - Iteration 23 of 35
INFO Accumulating statistics...
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INFO sat_3 - Iteration 24 of 35
INFO Accumulating statistics...
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INFO sat_3 - Iteration 25 of 35
INFO Accumulating statistics...
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INFO sat_3 - Iteration 26 of 35
INFO Accumulating statistics...
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INFO sat_3 - Iteration 27 of 35
INFO Accumulating statistics...
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INFO sat_3 - Iteration 28 of 35
INFO Accumulating statistics...
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INFO sat_3 - Iteration 29 of 35
INFO Accumulating statistics...
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INFO sat_3 - Iteration 30 of 35
INFO Generating alignments...
98% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 741/760 [ 0:00:04 < 0:00:01 , 203 it/s ]
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 146 it/s ]
INFO sat_3 - Iteration 31 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 149 it/s ]
INFO sat_3 - Iteration 32 of 35
INFO Accumulating statistics...
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INFO sat_3 - Iteration 33 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 139 it/s ]
INFO sat_3 - Iteration 34 of 35
INFO Accumulating statistics...
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INFO sat_3 - Iteration 35 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 144 it/s ]
INFO Creating alignment model for speaker-independent features...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 756/760 [ 0:00:06 < 0:00:01 , 143 it/s ]
INFO Training complete!
INFO Exiting training early to save time as the corpus is below the subset
size for later training stages
INFO Compiling training graphs...
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INFO Generating alignments...
98% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 745/760 [ 0:00:04 < 0:00:01 , 206 it/s ]
INFO Calculating fMLLR for speaker adaptation...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1/1 [ 0:00:01 < 0:00:00 , ? it/s ]
INFO Generating alignments...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 755/760 [ 0:00:05 < 0:00:01 , 195 it/s ]
INFO Accumulating transition stats...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 760/760 [ 0:00:00 < 0:00:00 , ? it/s ]
INFO Finished accumulating transition stats!
INFO Collecting phone and word alignments from sat_3_ali lattices...
91% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 693/760 [ 0:00:01 < 0:00:01 , 1,056 it/s ]
INFO Beginning phone LM training...
INFO Collecting training data...
0% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0/760 [ 0:00:01 < -:--:-- , ? it/s ]
INFO Training model...
INFO Completed training in 1412.3437068462372 seconds!
INFO Saved model to munster-model
WARNING Alignment analysis not available without using postgresql
INFO Exporting sat_3_ali TextGrids to /tmp/textgrid-munster...
98% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 742/760 [ 0:00:04 < 0:00:01 , 333 it/s ]
INFO Finished exporting TextGrids to /tmp/textgrid-munster!
INFO Done! Everything took 1441.163 seconds
/opt/conda/lib/python3.10/site-packages/scipy/__init__.py:146: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.24.4
warnings.warn(f"A NumPy version >={np_minversion} and <{np_maxversion}"
INFO Setting up corpus information...
INFO Loading corpus from source files...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 702/100 [ 0:00:00 < 0:00:00 , 631 it/s ]
INFO Found 1 speaker across 760 files, average number of utterances per
speaker: 760.0
INFO Initializing multiprocessing jobs...
WARNING Number of jobs was specified as 3, but due to only having 1 speakers,
MFA will only use 1 jobs. Use the --single_speaker flag if you would
like to split utterances across jobs regardless of their speaker.
INFO Normalizing text...
40% ━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━ 301/760 [ 0:00:01 < -:--:-- , ? it/s ]
INFO Creating corpus split for feature generation...
5% ━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 81/1,520 [ 0:00:01 < -:--:-- , ? it/s ]
INFO Generating MFCCs...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:08 < 0:00:01 , 134 it/s ]
INFO Calculating CMVN...
INFO Generating final features...
87% ━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━ 658/760 [ 0:00:01 < 0:00:01 , 1,818 it/s ]
INFO Creating corpus split with features...
64% ━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━ 486/760 [ 0:00:01 < -:--:-- , ? it/s ]
INFO Filtering utterances for training...
INFO Initializing training for monophone...
INFO Compiling training graphs...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 760/760 [ 0:00:00 < 0:00:00 , ? it/s ]
INFO Generating initial alignments...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 760/760 [ 0:00:00 < 0:00:00 , ? it/s ]
INFO Initialization complete!
INFO monophone - Iteration 1 of 40
INFO Generating alignments...
95% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 725/760 [ 0:00:02 < 0:00:01 , 586 it/s ]
INFO Accumulating statistics...
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INFO monophone - Iteration 2 of 40
INFO Generating alignments...
96% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 733/760 [ 0:00:02 < 0:00:01 , 602 it/s ]
INFO Accumulating statistics...
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INFO monophone - Iteration 3 of 40
INFO Generating alignments...
96% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 733/760 [ 0:00:02 < 0:00:01 , 651 it/s ]
INFO Accumulating statistics...
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INFO monophone - Iteration 4 of 40
INFO Generating alignments...
98% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 748/760 [ 0:00:02 < 0:00:01 , 667 it/s ]
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:01 < 0:00:01 , 1,476 it/s ]
INFO monophone - Iteration 5 of 40
INFO Generating alignments...
94% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━ 714/760 [ 0:00:02 < 0:00:01 , 637 it/s ]
INFO Accumulating statistics...
92% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/760 [ 0:00:01 < 0:00:01 , 1,521 it/s ]
INFO monophone - Iteration 6 of 40
INFO Generating alignments...
95% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━ 720/760 [ 0:00:02 < 0:00:01 , 638 it/s ]
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:01 < 0:00:01 , 1,330 it/s ]
INFO monophone - Iteration 7 of 40
INFO Generating alignments...
93% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 708/760 [ 0:00:02 < 0:00:01 , 633 it/s ]
INFO Accumulating statistics...
92% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/760 [ 0:00:01 < 0:00:01 , 1,450 it/s ]
INFO monophone - Iteration 8 of 40
INFO Generating alignments...
96% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 729/760 [ 0:00:02 < 0:00:01 , 648 it/s ]
INFO Accumulating statistics...
92% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/760 [ 0:00:01 < 0:00:01 , 1,445 it/s ]
INFO monophone - Iteration 9 of 40
INFO Generating alignments...
93% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 705/760 [ 0:00:02 < 0:00:01 , 624 it/s ]
INFO Accumulating statistics...
92% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/760 [ 0:00:01 < 0:00:01 , 1,410 it/s ]
INFO monophone - Iteration 10 of 40
INFO Generating alignments...
96% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 733/760 [ 0:00:02 < 0:00:01 , 590 it/s ]
INFO Accumulating statistics...
92% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/760 [ 0:00:01 < 0:00:01 , 1,374 it/s ]
INFO monophone - Iteration 11 of 40
INFO Accumulating statistics...
92% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/760 [ 0:00:01 < 0:00:01 , 1,341 it/s ]
INFO monophone - Iteration 12 of 40
INFO Generating alignments...
98% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 744/760 [ 0:00:02 < 0:00:01 , 601 it/s ]
INFO Accumulating statistics...
92% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/760 [ 0:00:01 < 0:00:01 , 1,354 it/s ]
INFO monophone - Iteration 13 of 40
INFO Accumulating statistics...
92% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/760 [ 0:00:01 < 0:00:01 , 1,347 it/s ]
INFO monophone - Iteration 14 of 40
INFO Generating alignments...
95% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━ 721/760 [ 0:00:02 < 0:00:01 , 589 it/s ]
INFO Accumulating statistics...
92% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/760 [ 0:00:01 < 0:00:01 , 1,325 it/s ]
INFO monophone - Iteration 15 of 40
INFO Accumulating statistics...
92% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/760 [ 0:00:01 < 0:00:01 , 1,318 it/s ]
INFO monophone - Iteration 16 of 40
INFO Generating alignments...
98% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 748/760 [ 0:00:02 < 0:00:01 , 542 it/s ]
INFO Accumulating statistics...
92% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/760 [ 0:00:01 < 0:00:01 , 1,278 it/s ]
INFO monophone - Iteration 17 of 40
INFO Accumulating statistics...
92% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/760 [ 0:00:01 < 0:00:01 , 1,283 it/s ]
INFO monophone - Iteration 18 of 40
INFO Generating alignments...
93% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 710/760 [ 0:00:02 < 0:00:01 , 576 it/s ]
INFO Accumulating statistics...
92% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/760 [ 0:00:01 < 0:00:01 , 1,274 it/s ]
INFO monophone - Iteration 19 of 40
INFO Accumulating statistics...
92% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/760 [ 0:00:01 < 0:00:01 , 1,244 it/s ]
INFO monophone - Iteration 20 of 40
INFO Generating alignments...
95% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━ 724/760 [ 0:00:02 < 0:00:01 , 541 it/s ]
INFO Accumulating statistics...
92% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/760 [ 0:00:01 < 0:00:01 , 1,227 it/s ]
INFO monophone - Iteration 21 of 40
INFO Accumulating statistics...
92% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/760 [ 0:00:01 < 0:00:01 , 1,203 it/s ]
INFO monophone - Iteration 22 of 40
INFO Accumulating statistics...
92% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/760 [ 0:00:01 < 0:00:01 , 1,184 it/s ]
INFO monophone - Iteration 23 of 40
INFO Generating alignments...
95% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━ 719/760 [ 0:00:02 < 0:00:01 , 538 it/s ]
INFO Accumulating statistics...
92% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/760 [ 0:00:01 < 0:00:01 , 1,144 it/s ]
INFO monophone - Iteration 24 of 40
INFO Accumulating statistics...
92% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/760 [ 0:00:01 < 0:00:01 , 1,182 it/s ]
INFO monophone - Iteration 25 of 40
INFO Accumulating statistics...
92% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/760 [ 0:00:01 < 0:00:01 , 1,136 it/s ]
INFO monophone - Iteration 26 of 40
INFO Generating alignments...
95% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━ 722/760 [ 0:00:02 < 0:00:01 , 541 it/s ]
INFO Accumulating statistics...
92% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/760 [ 0:00:01 < 0:00:01 , 1,153 it/s ]
INFO monophone - Iteration 27 of 40
INFO Accumulating statistics...
92% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/760 [ 0:00:01 < 0:00:01 , 1,068 it/s ]
INFO monophone - Iteration 28 of 40
INFO Accumulating statistics...
92% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/760 [ 0:00:01 < 0:00:01 , 1,081 it/s ]
INFO monophone - Iteration 29 of 40
INFO Generating alignments...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 758/760 [ 0:00:02 < 0:00:01 , 518 it/s ]
INFO Accumulating statistics...
92% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/760 [ 0:00:01 < 0:00:01 , 1,085 it/s ]
INFO monophone - Iteration 30 of 40
INFO Accumulating statistics...
92% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/760 [ 0:00:01 < 0:00:01 , 1,070 it/s ]
INFO monophone - Iteration 31 of 40
INFO Accumulating statistics...
92% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/760 [ 0:00:01 < 0:00:01 , 1,025 it/s ]
INFO monophone - Iteration 32 of 40
INFO Generating alignments...
95% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━ 724/760 [ 0:00:02 < 0:00:01 , 506 it/s ]
INFO Accumulating statistics...
92% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/760 [ 0:00:01 < 0:00:01 , 1,033 it/s ]
INFO monophone - Iteration 33 of 40
INFO Accumulating statistics...
92% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/760 [ 0:00:01 < 0:00:01 , 1,048 it/s ]
INFO monophone - Iteration 34 of 40
INFO Accumulating statistics...
92% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/760 [ 0:00:01 < 0:00:01 , 1,024 it/s ]
INFO monophone - Iteration 35 of 40
INFO Generating alignments...
94% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━ 717/760 [ 0:00:02 < 0:00:01 , 497 it/s ]
INFO Accumulating statistics...
92% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/760 [ 0:00:01 < 0:00:01 , 1,035 it/s ]
INFO monophone - Iteration 36 of 40
INFO Accumulating statistics...
92% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/760 [ 0:00:01 < 0:00:01 , 1,044 it/s ]
INFO monophone - Iteration 37 of 40
INFO Accumulating statistics...
92% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/760 [ 0:00:01 < 0:00:01 , 1,043 it/s ]
INFO monophone - Iteration 38 of 40
INFO Generating alignments...
96% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 730/760 [ 0:00:02 < 0:00:01 , 508 it/s ]
INFO Accumulating statistics...
92% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/760 [ 0:00:01 < 0:00:01 , 1,049 it/s ]
INFO monophone - Iteration 39 of 40
INFO Accumulating statistics...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 760/760 [ 0:00:00 < 0:00:00 , 1,012 it/s ]
INFO monophone - Iteration 40 of 40
INFO Accumulating statistics...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 760/760 [ 0:00:00 < 0:00:00 , 1,009 it/s ]
INFO Training complete!
INFO Compiling training graphs...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 760/760 [ 0:00:00 < 0:00:00 , ? it/s ]
INFO Generating alignments...
94% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━ 717/760 [ 0:00:02 < 0:00:01 , 498 it/s ]
INFO Initializing training for triphone...
INFO Compiling training graphs...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 760/760 [ 0:00:00 < 0:00:00 , ? it/s ]
INFO Converting alignments...
0% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0/760 [ 0:00:01 < -:--:-- , ? it/s ]
INFO Initialization complete!
INFO triphone - Iteration 1 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:02 < 0:00:01 , 600 it/s ]
INFO triphone - Iteration 2 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:02 < 0:00:01 , 580 it/s ]
INFO triphone - Iteration 3 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:02 < 0:00:01 , 442 it/s ]
INFO triphone - Iteration 4 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:03 < 0:00:01 , 382 it/s ]
INFO triphone - Iteration 5 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:03 < 0:00:01 , 313 it/s ]
INFO triphone - Iteration 6 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:03 < 0:00:01 , 260 it/s ]
INFO triphone - Iteration 7 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:04 < 0:00:01 , 235 it/s ]
INFO triphone - Iteration 8 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:04 < 0:00:01 , 204 it/s ]
INFO triphone - Iteration 9 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:05 < 0:00:01 , 186 it/s ]
INFO triphone - Iteration 10 of 35
INFO Generating alignments...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 757/760 [ 0:00:08 < 0:00:01 , 106 it/s ]
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:05 < 0:00:01 , 166 it/s ]
INFO triphone - Iteration 11 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 147 it/s ]
INFO triphone - Iteration 12 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:06 < 0:00:01 , 130 it/s ]
INFO triphone - Iteration 13 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:07 < 0:00:01 , 117 it/s ]
INFO triphone - Iteration 14 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:08 < 0:00:01 , 105 it/s ]
INFO triphone - Iteration 15 of 35
INFO Accumulating statistics...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 760/760 [ 0:00:08 < 0:00:00 , 93 it/s ]
INFO triphone - Iteration 16 of 35
INFO Accumulating statistics...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 760/760 [ 0:00:08 < 0:00:00 , 87 it/s ]
INFO triphone - Iteration 17 of 35
INFO Accumulating statistics...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 760/760 [ 0:00:08 < 0:00:00 , 86 it/s ]
INFO triphone - Iteration 18 of 35
INFO Accumulating statistics...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 760/760 [ 0:00:08 < 0:00:00 , 87 it/s ]
INFO triphone - Iteration 19 of 35
INFO Accumulating statistics...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 760/760 [ 0:00:08 < 0:00:00 , 85 it/s ]
INFO triphone - Iteration 20 of 35
INFO Generating alignments...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 754/760 [ 0:00:11 < 0:00:01 , 72 it/s ]
INFO Accumulating statistics...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 760/760 [ 0:00:09 < 0:00:00 , 83 it/s ]
INFO triphone - Iteration 21 of 35
INFO Accumulating statistics...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 760/760 [ 0:00:09 < 0:00:00 , 83 it/s ]
INFO triphone - Iteration 22 of 35
INFO Accumulating statistics...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 760/760 [ 0:00:09 < 0:00:00 , 83 it/s ]
INFO triphone - Iteration 23 of 35
INFO Accumulating statistics...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 760/760 [ 0:00:09 < 0:00:00 , 82 it/s ]
INFO triphone - Iteration 24 of 35
INFO Accumulating statistics...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 760/760 [ 0:00:09 < 0:00:00 , 83 it/s ]
INFO triphone - Iteration 25 of 35
INFO Accumulating statistics...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 760/760 [ 0:00:09 < 0:00:00 , 83 it/s ]
INFO triphone - Iteration 26 of 35
INFO Accumulating statistics...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 760/760 [ 0:00:09 < 0:00:00 , 81 it/s ]
INFO triphone - Iteration 27 of 35
INFO Accumulating statistics...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 760/760 [ 0:00:09 < 0:00:00 , 83 it/s ]
INFO triphone - Iteration 28 of 35
INFO Accumulating statistics...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 760/760 [ 0:00:09 < 0:00:00 , 84 it/s ]
INFO triphone - Iteration 29 of 35
INFO Accumulating statistics...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 760/760 [ 0:00:09 < 0:00:00 , 82 it/s ]
INFO triphone - Iteration 30 of 35
INFO Generating alignments...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 755/760 [ 0:00:11 < 0:00:01 , 72 it/s ]
INFO Accumulating statistics...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 760/760 [ 0:00:09 < 0:00:00 , 84 it/s ]
INFO triphone - Iteration 31 of 35
INFO Accumulating statistics...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 760/760 [ 0:00:09 < 0:00:00 , 80 it/s ]
INFO triphone - Iteration 32 of 35
INFO Accumulating statistics...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 760/760 [ 0:00:09 < 0:00:00 , 83 it/s ]
INFO triphone - Iteration 33 of 35
INFO Accumulating statistics...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 760/760 [ 0:00:09 < 0:00:00 , 82 it/s ]
INFO triphone - Iteration 34 of 35
INFO Accumulating statistics...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 760/760 [ 0:00:09 < 0:00:00 , 77 it/s ]
INFO triphone - Iteration 35 of 35
INFO Accumulating statistics...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 760/760 [ 0:00:09 < 0:00:00 , 83 it/s ]
INFO Training complete!
INFO Compiling training graphs...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 760/760 [ 0:00:00 < 0:00:00 , ? it/s ]
INFO Generating alignments...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 756/760 [ 0:00:11 < 0:00:01 , 72 it/s ]
INFO Initializing training for lda...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 760/760 [ 0:00:00 < 0:00:00 , ? it/s ]
INFO Compiling training graphs...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 760/760 [ 0:00:00 < 0:00:00 , ? it/s ]
INFO Converting alignments...
0% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0/760 [ 0:00:01 < -:--:-- , ? it/s ]
INFO Initialization complete!
INFO lda - Iteration 1 of 35
INFO Accumulating statistics...
86% ━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━ 650/760 [ 0:00:01 < 0:00:01 , 1,520 it/s ]
INFO lda - Iteration 2 of 35
INFO Re-calculating LDA...
87% ━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━ 658/760 [ 0:00:01 < 0:00:01 , 1,947 it/s ]
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:02 < 0:00:01 , 428 it/s ]
INFO lda - Iteration 3 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:03 < 0:00:01 , 327 it/s ]
INFO lda - Iteration 4 of 35
INFO Re-calculating LDA...
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INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:03 < 0:00:01 , 269 it/s ]
INFO lda - Iteration 5 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/760 [ 0:00:04 < 0:00:01 , 215 it/s ]
INFO lda - Iteration 6 of 35
INFO Re-calculating LDA...
89% ━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━ 676/760 [ 0:00:01 < 0:00:01 , 2,001 it/s ]
INFO Accumulating statistics...
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INFO lda - Iteration 7 of 35
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INFO lda - Iteration 9 of 35
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INFO lda - Iteration 10 of 35
INFO Generating alignments...
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INFO lda - Iteration 11 of 35
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INFO lda - Iteration 12 of 35
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INFO lda - Iteration 20 of 35
INFO Generating alignments...
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INFO lda - Iteration 25 of 35
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INFO lda - Iteration 28 of 35
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INFO lda - Iteration 29 of 35
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INFO lda - Iteration 30 of 35
INFO Generating alignments...
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INFO lda - Iteration 31 of 35
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INFO lda - Iteration 32 of 35
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INFO lda - Iteration 33 of 35
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INFO lda - Iteration 34 of 35
INFO Accumulating statistics...
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INFO lda - Iteration 35 of 35
INFO Accumulating statistics...
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INFO Training complete!
INFO Compiling training graphs...
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INFO Generating alignments...
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INFO Initializing training for sat...
INFO Calculating fMLLR for speaker adaptation...
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INFO Converting alignments...
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INFO Compiling training graphs...
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INFO Initialization complete!
INFO sat - Iteration 1 of 35
INFO Accumulating statistics...
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INFO sat - Iteration 2 of 35
INFO Calculating fMLLR for speaker adaptation...
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INFO Accumulating statistics...
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INFO sat - Iteration 3 of 35
INFO Accumulating statistics...
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INFO sat - Iteration 4 of 35
INFO Calculating fMLLR for speaker adaptation...
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INFO Accumulating statistics...
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INFO sat - Iteration 5 of 35
INFO Accumulating statistics...
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INFO sat - Iteration 6 of 35
INFO Calculating fMLLR for speaker adaptation...
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INFO Accumulating statistics...
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INFO sat - Iteration 7 of 35
INFO Accumulating statistics...
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INFO sat - Iteration 8 of 35
INFO Accumulating statistics...
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INFO sat - Iteration 9 of 35
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INFO sat - Iteration 10 of 35
INFO Generating alignments...
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INFO Accumulating statistics...
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INFO sat - Iteration 11 of 35
INFO Accumulating statistics...
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INFO sat - Iteration 12 of 35
INFO Calculating fMLLR for speaker adaptation...
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INFO Accumulating statistics...
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INFO sat - Iteration 13 of 35
INFO Accumulating statistics...
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INFO sat - Iteration 14 of 35
INFO Accumulating statistics...
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INFO sat - Iteration 15 of 35
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INFO sat - Iteration 16 of 35
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INFO sat - Iteration 17 of 35
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INFO sat - Iteration 18 of 35
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INFO sat - Iteration 19 of 35
INFO Accumulating statistics...
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INFO sat - Iteration 20 of 35
INFO Generating alignments...
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INFO sat - Iteration 21 of 35
INFO Accumulating statistics...
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INFO sat - Iteration 22 of 35
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INFO sat - Iteration 23 of 35
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INFO sat - Iteration 24 of 35
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INFO sat - Iteration 25 of 35
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INFO sat - Iteration 26 of 35
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INFO sat - Iteration 27 of 35
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INFO sat - Iteration 28 of 35
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INFO sat - Iteration 29 of 35
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INFO sat - Iteration 30 of 35
INFO Generating alignments...
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INFO sat - Iteration 31 of 35
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INFO sat - Iteration 32 of 35
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INFO sat - Iteration 33 of 35
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INFO sat - Iteration 34 of 35
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INFO sat - Iteration 35 of 35
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INFO Creating alignment model for speaker-independent features...
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INFO Training complete!
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INFO Generating alignments...
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INFO Generating alignments...
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INFO Initializing training for sat_2...
INFO Converting alignments...
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INFO sat_2 - Iteration 7 of 35
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INFO sat_2 - Iteration 9 of 35
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INFO sat_2 - Iteration 10 of 35
INFO Generating alignments...
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INFO sat_2 - Iteration 11 of 35
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INFO sat_2 - Iteration 12 of 35
INFO Calculating fMLLR for speaker adaptation...
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INFO sat_2 - Iteration 14 of 35
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INFO sat_2 - Iteration 15 of 35
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INFO sat_2 - Iteration 19 of 35
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INFO sat_2 - Iteration 20 of 35
INFO Generating alignments...
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INFO Generating alignments...
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INFO Training complete!
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INFO Initializing training for sat_3...
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INFO sat_3 - Iteration 6 of 35
INFO Calculating fMLLR for speaker adaptation...
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INFO sat_3 - Iteration 7 of 35
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INFO sat_3 - Iteration 8 of 35
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INFO sat_3 - Iteration 9 of 35
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INFO sat_3 - Iteration 10 of 35
INFO Generating alignments...
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INFO sat_3 - Iteration 11 of 35
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INFO sat_3 - Iteration 12 of 35
INFO Calculating fMLLR for speaker adaptation...
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INFO sat_3 - Iteration 13 of 35
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INFO sat_3 - Iteration 14 of 35
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INFO sat_3 - Iteration 17 of 35
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INFO sat_3 - Iteration 18 of 35
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INFO sat_3 - Iteration 19 of 35
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INFO Generating alignments...
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INFO sat_3 - Iteration 21 of 35
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INFO sat_3 - Iteration 22 of 35
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INFO sat_3 - Iteration 26 of 35
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INFO sat_3 - Iteration 27 of 35
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INFO sat_3 - Iteration 30 of 35
INFO Generating alignments...
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INFO sat_3 - Iteration 31 of 35
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INFO sat_3 - Iteration 32 of 35
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INFO sat_3 - Iteration 34 of 35
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INFO sat_3 - Iteration 35 of 35
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INFO Creating alignment model for speaker-independent features...
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INFO Training complete!
INFO Exiting training early to save time as the corpus is below the subset
size for later training stages
INFO Compiling training graphs...
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INFO Generating alignments...
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INFO Calculating fMLLR for speaker adaptation...
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INFO Generating alignments...
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INFO Accumulating transition stats...
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INFO Finished accumulating transition stats!
INFO Collecting phone and word alignments from sat_3_ali lattices...
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INFO Beginning phone LM training...
INFO Collecting training data...
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INFO Training model...
INFO Completed training in 2015.4587409496307 seconds!
INFO Saved model to ulster-model
WARNING Alignment analysis not available without using postgresql
INFO Exporting sat_3_ali TextGrids to /tmp/textgrid-ulster...
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INFO Finished exporting TextGrids to /tmp/textgrid-ulster!
INFO Done! Everything took 2037.755 seconds
/opt/conda/lib/python3.10/site-packages/scipy/__init__.py:146: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.24.4
warnings.warn(f"A NumPy version >={np_minversion} and <{np_maxversion}"
INFO Setting up corpus information...
INFO Loading corpus from source files...
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INFO Found 1 speaker across 756 files, average number of utterances per
speaker: 756.0
INFO Initializing multiprocessing jobs...
WARNING Number of jobs was specified as 3, but due to only having 1 speakers,
MFA will only use 1 jobs. Use the --single_speaker flag if you would
like to split utterances across jobs regardless of their speaker.
INFO Normalizing text...
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INFO Creating corpus split for feature generation...
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INFO Generating MFCCs...
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INFO Calculating CMVN...
INFO Generating final features...
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INFO Creating corpus split with features...
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INFO Filtering utterances for training...
INFO Initializing training for monophone...
INFO Compiling training graphs...
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INFO Generating initial alignments...
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INFO Initialization complete!
INFO monophone - Iteration 1 of 40
INFO Generating alignments...
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INFO Accumulating statistics...
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INFO monophone - Iteration 2 of 40
INFO Generating alignments...
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INFO Accumulating statistics...
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INFO monophone - Iteration 3 of 40
INFO Generating alignments...
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INFO Accumulating statistics...
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INFO monophone - Iteration 4 of 40
INFO Generating alignments...
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INFO Accumulating statistics...
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INFO monophone - Iteration 5 of 40
INFO Generating alignments...
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INFO Accumulating statistics...
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INFO monophone - Iteration 6 of 40
INFO Generating alignments...
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INFO Accumulating statistics...
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INFO monophone - Iteration 7 of 40
INFO Generating alignments...
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INFO Accumulating statistics...
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INFO monophone - Iteration 8 of 40
INFO Generating alignments...
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INFO Accumulating statistics...
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INFO monophone - Iteration 9 of 40
INFO Generating alignments...
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INFO Accumulating statistics...
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INFO monophone - Iteration 10 of 40
INFO Generating alignments...
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INFO Accumulating statistics...
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INFO monophone - Iteration 11 of 40
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:01 < 0:00:01 , 1,856 it/s ]
INFO monophone - Iteration 12 of 40
INFO Generating alignments...
95% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━ 719/756 [ 0:00:02 < 0:00:01 , 779 it/s ]
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:01 < 0:00:01 , 1,862 it/s ]
INFO monophone - Iteration 13 of 40
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:01 < 0:00:01 , 1,822 it/s ]
INFO monophone - Iteration 14 of 40
INFO Generating alignments...
98% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 743/756 [ 0:00:02 < 0:00:01 , 791 it/s ]
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:01 < 0:00:01 , 1,736 it/s ]
INFO monophone - Iteration 15 of 40
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:01 < 0:00:01 , 1,776 it/s ]
INFO monophone - Iteration 16 of 40
INFO Generating alignments...
95% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━ 717/756 [ 0:00:02 < 0:00:01 , 780 it/s ]
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:01 < 0:00:01 , 1,758 it/s ]
INFO monophone - Iteration 17 of 40
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:01 < 0:00:01 , 1,769 it/s ]
INFO monophone - Iteration 18 of 40
INFO Generating alignments...
94% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━ 709/756 [ 0:00:02 < 0:00:01 , 758 it/s ]
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:01 < 0:00:01 , 1,723 it/s ]
INFO monophone - Iteration 19 of 40
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:01 < 0:00:01 , 1,709 it/s ]
INFO monophone - Iteration 20 of 40
INFO Generating alignments...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 755/756 [ 0:00:02 < 0:00:01 , 744 it/s ]
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:01 < 0:00:01 , 1,627 it/s ]
INFO monophone - Iteration 21 of 40
INFO Accumulating statistics...
93% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/756 [ 0:00:01 < 0:00:01 , 1,631 it/s ]
INFO monophone - Iteration 22 of 40
INFO Accumulating statistics...
93% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/756 [ 0:00:01 < 0:00:01 , 1,611 it/s ]
INFO monophone - Iteration 23 of 40
INFO Generating alignments...
91% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 686/756 [ 0:00:02 < 0:00:01 , 743 it/s ]
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:01 < 0:00:01 , 1,652 it/s ]
INFO monophone - Iteration 24 of 40
INFO Accumulating statistics...
93% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/756 [ 0:00:01 < 0:00:01 , 1,612 it/s ]
INFO monophone - Iteration 25 of 40
INFO Accumulating statistics...
93% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/756 [ 0:00:01 < 0:00:01 , 1,594 it/s ]
INFO monophone - Iteration 26 of 40
INFO Generating alignments...
98% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 743/756 [ 0:00:02 < 0:00:01 , 729 it/s ]
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:01 < 0:00:01 , 1,528 it/s ]
INFO monophone - Iteration 27 of 40
INFO Accumulating statistics...
93% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/756 [ 0:00:01 < 0:00:01 , 1,551 it/s ]
INFO monophone - Iteration 28 of 40
INFO Accumulating statistics...
93% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/756 [ 0:00:01 < 0:00:01 , 1,531 it/s ]
INFO monophone - Iteration 29 of 40
INFO Generating alignments...
97% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 736/756 [ 0:00:02 < 0:00:01 , 718 it/s ]
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:01 < 0:00:01 , 1,452 it/s ]
INFO monophone - Iteration 30 of 40
INFO Accumulating statistics...
93% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/756 [ 0:00:01 < 0:00:01 , 1,442 it/s ]
INFO monophone - Iteration 31 of 40
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:01 < 0:00:01 , 1,446 it/s ]
INFO monophone - Iteration 32 of 40
INFO Generating alignments...
94% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━ 711/756 [ 0:00:02 < 0:00:01 , 694 it/s ]
INFO Accumulating statistics...
93% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/756 [ 0:00:01 < 0:00:01 , 1,425 it/s ]
INFO monophone - Iteration 33 of 40
INFO Accumulating statistics...
93% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/756 [ 0:00:01 < 0:00:01 , 1,421 it/s ]
INFO monophone - Iteration 34 of 40
INFO Accumulating statistics...
93% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/756 [ 0:00:01 < 0:00:01 , 1,419 it/s ]
INFO monophone - Iteration 35 of 40
INFO Generating alignments...
97% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 733/756 [ 0:00:02 < 0:00:01 , 659 it/s ]
INFO Accumulating statistics...
93% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/756 [ 0:00:01 < 0:00:01 , 1,376 it/s ]
INFO monophone - Iteration 36 of 40
INFO Accumulating statistics...
93% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/756 [ 0:00:01 < 0:00:01 , 1,425 it/s ]
INFO monophone - Iteration 37 of 40
INFO Accumulating statistics...
93% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/756 [ 0:00:01 < 0:00:01 , 1,433 it/s ]
INFO monophone - Iteration 38 of 40
INFO Generating alignments...
95% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━ 717/756 [ 0:00:02 < 0:00:01 , 700 it/s ]
INFO Accumulating statistics...
93% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/756 [ 0:00:01 < 0:00:01 , 1,399 it/s ]
INFO monophone - Iteration 39 of 40
INFO Accumulating statistics...
93% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/756 [ 0:00:01 < 0:00:01 , 1,404 it/s ]
INFO monophone - Iteration 40 of 40
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:01 < 0:00:01 , 1,460 it/s ]
INFO Training complete!
INFO Compiling training graphs...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 756/756 [ 0:00:00 < 0:00:00 , ? it/s ]
INFO Generating alignments...
94% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 707/756 [ 0:00:02 < 0:00:01 , 691 it/s ]
INFO Initializing training for triphone...
INFO Compiling training graphs...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 756/756 [ 0:00:00 < 0:00:00 , ? it/s ]
INFO Converting alignments...
0% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0/756 [ 0:00:01 < -:--:-- , ? it/s ]
INFO Initialization complete!
INFO triphone - Iteration 1 of 35
INFO Accumulating statistics...
93% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 700/756 [ 0:00:01 < 0:00:01 , 910 it/s ]
INFO triphone - Iteration 2 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:01 < 0:00:01 , 845 it/s ]
INFO triphone - Iteration 3 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:02 < 0:00:01 , 658 it/s ]
INFO triphone - Iteration 4 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:02 < 0:00:01 , 500 it/s ]
INFO triphone - Iteration 5 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:03 < 0:00:01 , 362 it/s ]
INFO triphone - Iteration 6 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:03 < 0:00:01 , 288 it/s ]
INFO triphone - Iteration 7 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:04 < 0:00:01 , 219 it/s ]
INFO triphone - Iteration 8 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:05 < 0:00:01 , 176 it/s ]
INFO triphone - Iteration 9 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 151 it/s ]
INFO triphone - Iteration 10 of 35
INFO Generating alignments...
98% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 742/756 [ 0:00:05 < 0:00:01 , 178 it/s ]
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 137 it/s ]
INFO triphone - Iteration 11 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 138 it/s ]
INFO triphone - Iteration 12 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 136 it/s ]
INFO triphone - Iteration 13 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 135 it/s ]
INFO triphone - Iteration 14 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 134 it/s ]
INFO triphone - Iteration 15 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 132 it/s ]
INFO triphone - Iteration 16 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 130 it/s ]
INFO triphone - Iteration 17 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 130 it/s ]
INFO triphone - Iteration 18 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 127 it/s ]
INFO triphone - Iteration 19 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 130 it/s ]
INFO triphone - Iteration 20 of 35
INFO Generating alignments...
98% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 738/756 [ 0:00:05 < 0:00:01 , 192 it/s ]
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:07 < 0:00:01 , 126 it/s ]
INFO triphone - Iteration 21 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 129 it/s ]
INFO triphone - Iteration 22 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 129 it/s ]
INFO triphone - Iteration 23 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 128 it/s ]
INFO triphone - Iteration 24 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:07 < 0:00:01 , 125 it/s ]
INFO triphone - Iteration 25 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:07 < 0:00:01 , 126 it/s ]
INFO triphone - Iteration 26 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:07 < 0:00:01 , 127 it/s ]
INFO triphone - Iteration 27 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 128 it/s ]
INFO triphone - Iteration 28 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 128 it/s ]
INFO triphone - Iteration 29 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:07 < 0:00:01 , 126 it/s ]
INFO triphone - Iteration 30 of 35
INFO Generating alignments...
98% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 740/756 [ 0:00:05 < 0:00:01 , 191 it/s ]
INFO Accumulating statistics...
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INFO triphone - Iteration 31 of 35
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INFO triphone - Iteration 32 of 35
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INFO triphone - Iteration 33 of 35
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INFO triphone - Iteration 34 of 35
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INFO triphone - Iteration 35 of 35
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INFO Training complete!
INFO Compiling training graphs...
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INFO Generating alignments...
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INFO Initializing training for lda...
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INFO Compiling training graphs...
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INFO Converting alignments...
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INFO Initialization complete!
INFO lda - Iteration 1 of 35
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INFO lda - Iteration 2 of 35
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INFO lda - Iteration 3 of 35
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INFO lda - Iteration 4 of 35
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INFO lda - Iteration 5 of 35
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INFO lda - Iteration 6 of 35
INFO Re-calculating LDA...
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INFO lda - Iteration 7 of 35
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INFO lda - Iteration 8 of 35
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INFO lda - Iteration 9 of 35
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INFO lda - Iteration 10 of 35
INFO Generating alignments...
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INFO lda - Iteration 11 of 35
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INFO lda - Iteration 12 of 35
INFO Re-calculating LDA...
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INFO lda - Iteration 13 of 35
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INFO lda - Iteration 14 of 35
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INFO lda - Iteration 15 of 35
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INFO lda - Iteration 16 of 35
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INFO lda - Iteration 17 of 35
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INFO lda - Iteration 18 of 35
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INFO lda - Iteration 19 of 35
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INFO lda - Iteration 20 of 35
INFO Generating alignments...
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INFO lda - Iteration 21 of 35
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INFO lda - Iteration 22 of 35
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INFO lda - Iteration 23 of 35
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INFO lda - Iteration 24 of 35
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INFO lda - Iteration 25 of 35
INFO Accumulating statistics...
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INFO lda - Iteration 26 of 35
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INFO lda - Iteration 27 of 35
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INFO lda - Iteration 28 of 35
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INFO lda - Iteration 29 of 35
INFO Accumulating statistics...
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INFO lda - Iteration 30 of 35
INFO Generating alignments...
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INFO Accumulating statistics...
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INFO lda - Iteration 31 of 35
INFO Accumulating statistics...
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INFO lda - Iteration 32 of 35
INFO Accumulating statistics...
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INFO lda - Iteration 33 of 35
INFO Accumulating statistics...
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INFO lda - Iteration 34 of 35
INFO Accumulating statistics...
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INFO lda - Iteration 35 of 35
INFO Accumulating statistics...
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INFO Training complete!
INFO Compiling training graphs...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 756/756 [ 0:00:00 < 0:00:00 , ? it/s ]
INFO Generating alignments...
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INFO Initializing training for sat...
INFO Calculating fMLLR for speaker adaptation...
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INFO Converting alignments...
0% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0/756 [ 0:00:01 < -:--:-- , ? it/s ]
INFO Compiling training graphs...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 756/756 [ 0:00:00 < 0:00:00 , ? it/s ]
INFO Initialization complete!
INFO sat - Iteration 1 of 35
INFO Accumulating statistics...
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INFO sat - Iteration 2 of 35
INFO Calculating fMLLR for speaker adaptation...
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INFO Accumulating statistics...
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INFO sat - Iteration 3 of 35
INFO Accumulating statistics...
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INFO sat - Iteration 4 of 35
INFO Calculating fMLLR for speaker adaptation...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1/1 [ 0:00:00 < 0:00:00 , ? it/s ]
INFO Accumulating statistics...
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INFO sat - Iteration 5 of 35
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INFO sat - Iteration 6 of 35
INFO Calculating fMLLR for speaker adaptation...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1/1 [ 0:00:00 < 0:00:00 , ? it/s ]
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 144 it/s ]
INFO sat - Iteration 7 of 35
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INFO sat - Iteration 8 of 35
INFO Accumulating statistics...
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INFO sat - Iteration 9 of 35
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INFO sat - Iteration 10 of 35
INFO Generating alignments...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 752/756 [ 0:00:05 < 0:00:01 , 186 it/s ]
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INFO sat - Iteration 11 of 35
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INFO sat - Iteration 12 of 35
INFO Calculating fMLLR for speaker adaptation...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1/1 [ 0:00:00 < 0:00:00 , ? it/s ]
INFO Accumulating statistics...
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INFO sat - Iteration 13 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 142 it/s ]
INFO sat - Iteration 14 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 144 it/s ]
INFO sat - Iteration 15 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 140 it/s ]
INFO sat - Iteration 16 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 143 it/s ]
INFO sat - Iteration 17 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 138 it/s ]
INFO sat - Iteration 18 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 143 it/s ]
INFO sat - Iteration 19 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 139 it/s ]
INFO sat - Iteration 20 of 35
INFO Generating alignments...
98% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 744/756 [ 0:00:04 < 0:00:01 , 209 it/s ]
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 139 it/s ]
INFO sat - Iteration 21 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 142 it/s ]
INFO sat - Iteration 22 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 142 it/s ]
INFO sat - Iteration 23 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 142 it/s ]
INFO sat - Iteration 24 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 145 it/s ]
INFO sat - Iteration 25 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 140 it/s ]
INFO sat - Iteration 26 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 141 it/s ]
INFO sat - Iteration 27 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 142 it/s ]
INFO sat - Iteration 28 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 136 it/s ]
INFO sat - Iteration 29 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 140 it/s ]
INFO sat - Iteration 30 of 35
INFO Generating alignments...
97% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 736/756 [ 0:00:04 < 0:00:01 , 216 it/s ]
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 139 it/s ]
INFO sat - Iteration 31 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 141 it/s ]
INFO sat - Iteration 32 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 139 it/s ]
INFO sat - Iteration 33 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 134 it/s ]
INFO sat - Iteration 34 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 143 it/s ]
INFO sat - Iteration 35 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 139 it/s ]
INFO Creating alignment model for speaker-independent features...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 748/756 [ 0:00:06 < 0:00:01 , 137 it/s ]
INFO Training complete!
INFO Compiling training graphs...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 756/756 [ 0:00:00 < 0:00:00 , ? it/s ]
INFO Generating alignments...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 754/756 [ 0:00:04 < 0:00:01 , 214 it/s ]
INFO Calculating fMLLR for speaker adaptation...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1/1 [ 0:00:00 < 0:00:00 , ? it/s ]
INFO Generating alignments...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 747/756 [ 0:00:04 < 0:00:01 , 218 it/s ]
INFO Initializing training for sat_2...
INFO Converting alignments...
0% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0/756 [ 0:00:01 < -:--:-- , ? it/s ]
INFO Compiling training graphs...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 756/756 [ 0:00:00 < 0:00:00 , ? it/s ]
INFO Initialization complete!
INFO sat_2 - Iteration 1 of 35
INFO Accumulating statistics...
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INFO sat_2 - Iteration 2 of 35
INFO Calculating fMLLR for speaker adaptation...
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INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 150 it/s ]
INFO sat_2 - Iteration 3 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 148 it/s ]
INFO sat_2 - Iteration 4 of 35
INFO Calculating fMLLR for speaker adaptation...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1/1 [ 0:00:00 < 0:00:00 , ? it/s ]
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 152 it/s ]
INFO sat_2 - Iteration 5 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 147 it/s ]
INFO sat_2 - Iteration 6 of 35
INFO Calculating fMLLR for speaker adaptation...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1/1 [ 0:00:00 < 0:00:00 , ? it/s ]
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 148 it/s ]
INFO sat_2 - Iteration 7 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 145 it/s ]
INFO sat_2 - Iteration 8 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 149 it/s ]
INFO sat_2 - Iteration 9 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 142 it/s ]
INFO sat_2 - Iteration 10 of 35
INFO Generating alignments...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 752/756 [ 0:00:05 < 0:00:01 , 185 it/s ]
INFO Accumulating statistics...
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INFO sat_2 - Iteration 11 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 147 it/s ]
INFO sat_2 - Iteration 12 of 35
INFO Calculating fMLLR for speaker adaptation...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1/1 [ 0:00:00 < 0:00:00 , ? it/s ]
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 147 it/s ]
INFO sat_2 - Iteration 13 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 146 it/s ]
INFO sat_2 - Iteration 14 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 144 it/s ]
INFO sat_2 - Iteration 15 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 144 it/s ]
INFO sat_2 - Iteration 16 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 133 it/s ]
INFO sat_2 - Iteration 17 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 145 it/s ]
INFO sat_2 - Iteration 18 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 145 it/s ]
INFO sat_2 - Iteration 19 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 143 it/s ]
INFO sat_2 - Iteration 20 of 35
INFO Generating alignments...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 755/756 [ 0:00:04 < 0:00:01 , 213 it/s ]
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 142 it/s ]
INFO sat_2 - Iteration 21 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 139 it/s ]
INFO sat_2 - Iteration 22 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 144 it/s ]
INFO sat_2 - Iteration 23 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 140 it/s ]
INFO sat_2 - Iteration 24 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 141 it/s ]
INFO sat_2 - Iteration 25 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 140 it/s ]
INFO sat_2 - Iteration 26 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 138 it/s ]
INFO sat_2 - Iteration 27 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 141 it/s ]
INFO sat_2 - Iteration 28 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 140 it/s ]
INFO sat_2 - Iteration 29 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 139 it/s ]
INFO sat_2 - Iteration 30 of 35
INFO Generating alignments...
98% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 738/756 [ 0:00:04 < 0:00:01 , 208 it/s ]
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 141 it/s ]
INFO sat_2 - Iteration 31 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 140 it/s ]
INFO sat_2 - Iteration 32 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 142 it/s ]
INFO sat_2 - Iteration 33 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 140 it/s ]
INFO sat_2 - Iteration 34 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 140 it/s ]
INFO sat_2 - Iteration 35 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 750/756 [ 0:00:06 < 0:00:01 , 141 it/s ]
INFO Creating alignment model for speaker-independent features...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 754/756 [ 0:00:06 < 0:00:01 , 131 it/s ]
INFO Training complete!
INFO Compiling training graphs...
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INFO Generating alignments...
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INFO Calculating fMLLR for speaker adaptation...
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INFO Generating alignments...
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INFO Generating pronunciations...
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INFO Compiling training graphs...
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INFO Generating alignments...
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INFO Calculating fMLLR for speaker adaptation...
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INFO Generating alignments...
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INFO Initializing training for sat_3...
INFO Converting alignments...
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INFO Compiling training graphs...
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INFO Initialization complete!
INFO sat_3 - Iteration 1 of 35
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INFO sat_3 - Iteration 9 of 35
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INFO sat_3 - Iteration 10 of 35
INFO Generating alignments...
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INFO Accumulating statistics...
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INFO sat_3 - Iteration 12 of 35
INFO Calculating fMLLR for speaker adaptation...
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INFO sat_3 - Iteration 20 of 35
INFO Generating alignments...
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INFO Accumulating statistics...
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INFO sat_3 - Iteration 25 of 35
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INFO sat_3 - Iteration 26 of 35
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INFO sat_3 - Iteration 27 of 35
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INFO sat_3 - Iteration 30 of 35
INFO Generating alignments...
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INFO sat_3 - Iteration 31 of 35
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INFO sat_3 - Iteration 32 of 35
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INFO sat_3 - Iteration 33 of 35
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INFO sat_3 - Iteration 34 of 35
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INFO sat_3 - Iteration 35 of 35
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INFO Creating alignment model for speaker-independent features...
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INFO Training complete!
INFO Exiting training early to save time as the corpus is below the subset
size for later training stages
INFO Compiling training graphs...
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INFO Generating alignments...
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INFO Calculating fMLLR for speaker adaptation...
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INFO Generating alignments...
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INFO Accumulating transition stats...
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INFO Finished accumulating transition stats!
INFO Collecting phone and word alignments from sat_3_ali lattices...
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INFO Beginning phone LM training...
INFO Collecting training data...
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INFO Training model...
INFO Completed training in 1433.7462072372437 seconds!
INFO Saved model to connaught-model
WARNING Alignment analysis not available without using postgresql
INFO Exporting sat_3_ali TextGrids to /tmp/textgrid-connaught...
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INFO Finished exporting TextGrids to /tmp/textgrid-connaught!
INFO Done! Everything took 1455.678 seconds
/opt/conda/lib/python3.10/site-packages/scipy/__init__.py:146: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.24.4
warnings.warn(f"A NumPy version >={np_minversion} and <{np_maxversion}"
INFO Setting up corpus information...
INFO Loading corpus from source files...
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INFO Found 1 speaker across 2276 files, average number of utterances per
speaker: 2276.0
INFO Initializing multiprocessing jobs...
WARNING Number of jobs was specified as 3, but due to only having 1 speakers,
MFA will only use 1 jobs. Use the --single_speaker flag if you would
like to split utterances across jobs regardless of their speaker.
INFO Normalizing text...
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INFO Creating corpus split for feature generation...
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INFO Generating MFCCs...
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INFO Calculating CMVN...
INFO Generating final features...
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INFO Creating corpus split with features...
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INFO Filtering utterances for training...
INFO Initializing training for monophone...
INFO Compiling training graphs...
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INFO Generating initial alignments...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2,276/2,276 [ 0:00:01 < 0:00:00 , ? it/s ]
INFO Initialization complete!
INFO monophone - Iteration 1 of 40
INFO Generating alignments...
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INFO Accumulating statistics...
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INFO monophone - Iteration 2 of 40
INFO Generating alignments...
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INFO Accumulating statistics...
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INFO monophone - Iteration 3 of 40
INFO Generating alignments...
98% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 2,232/2,276 [ 0:00:04 < 0:00:01 , 678 it/s ]
INFO Accumulating statistics...
92% ━━━━━━━━━━━━━━━━━━━━━━━╸━━ 2,100/2,276 [ 0:00:02 < 0:00:01 , 1,946 it/s ]
INFO monophone - Iteration 4 of 40
INFO Generating alignments...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 2,271/2,276 [ 0:00:04 < 0:00:01 , 684 it/s ]
INFO Accumulating statistics...
94% ━━━━━━━━━━━━━━━━━━━━━━━━╸━ 2,150/2,276 [ 0:00:02 < 0:00:01 , 1,768 it/s ]
INFO monophone - Iteration 5 of 40
INFO Generating alignments...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 2,262/2,276 [ 0:00:04 < 0:00:01 , 631 it/s ]
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━╸ 2,250/2,276 [ 0:00:02 < 0:00:01 , 1,814 it/s ]
INFO monophone - Iteration 6 of 40
INFO Generating alignments...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 2,266/2,276 [ 0:00:04 < 0:00:01 , 688 it/s ]
INFO Accumulating statistics...
94% ━━━━━━━━━━━━━━━━━━━━━━━━╸━ 2,150/2,276 [ 0:00:02 < 0:00:01 , 1,720 it/s ]
INFO monophone - Iteration 7 of 40
INFO Generating alignments...
97% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 2,208/2,276 [ 0:00:04 < 0:00:01 , 693 it/s ]
INFO Accumulating statistics...
94% ━━━━━━━━━━━━━━━━━━━━━━━━╸━ 2,150/2,276 [ 0:00:02 < 0:00:01 , 1,750 it/s ]
INFO monophone - Iteration 8 of 40
INFO Generating alignments...
97% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 2,219/2,276 [ 0:00:04 < 0:00:01 , 699 it/s ]
INFO Accumulating statistics...
97% ━━━━━━━━━━━━━━━━━━━━━━━━━╺ 2,200/2,276 [ 0:00:02 < 0:00:01 , 1,763 it/s ]
INFO monophone - Iteration 9 of 40
INFO Generating alignments...
97% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 2,209/2,276 [ 0:00:04 < 0:00:01 , 677 it/s ]
INFO Accumulating statistics...
94% ━━━━━━━━━━━━━━━━━━━━━━━━╸━ 2,150/2,276 [ 0:00:02 < 0:00:01 , 1,764 it/s ]
INFO monophone - Iteration 10 of 40
INFO Generating alignments...
98% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 2,240/2,276 [ 0:00:04 < 0:00:01 , 650 it/s ]
INFO Accumulating statistics...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━ 2,276/2,276 [ 0:00:01 < 0:00:00 , 1,690 it/s ]
INFO monophone - Iteration 11 of 40
INFO Accumulating statistics...
94% ━━━━━━━━━━━━━━━━━━━━━━━━╸━ 2,150/2,276 [ 0:00:02 < 0:00:01 , 1,646 it/s ]
INFO monophone - Iteration 12 of 40
INFO Generating alignments...
97% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 2,213/2,276 [ 0:00:04 < 0:00:01 , 684 it/s ]
INFO Accumulating statistics...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━ 2,276/2,276 [ 0:00:01 < 0:00:00 , 1,678 it/s ]
INFO monophone - Iteration 13 of 40
INFO Accumulating statistics...
94% ━━━━━━━━━━━━━━━━━━━━━━━━╸━ 2,150/2,276 [ 0:00:02 < 0:00:01 , 1,661 it/s ]
INFO monophone - Iteration 14 of 40
INFO Generating alignments...
98% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 2,223/2,276 [ 0:00:04 < 0:00:01 , 657 it/s ]
INFO Accumulating statistics...
92% ━━━━━━━━━━━━━━━━━━━━━━━╸━━ 2,100/2,276 [ 0:00:02 < 0:00:01 , 1,654 it/s ]
INFO monophone - Iteration 15 of 40
INFO Accumulating statistics...
94% ━━━━━━━━━━━━━━━━━━━━━━━━╸━ 2,150/2,276 [ 0:00:02 < 0:00:01 , 1,661 it/s ]
INFO monophone - Iteration 16 of 40
INFO Generating alignments...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 2,274/2,276 [ 0:00:04 < 0:00:01 , 653 it/s ]
INFO Accumulating statistics...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━ 2,276/2,276 [ 0:00:01 < 0:00:00 , 1,625 it/s ]
INFO monophone - Iteration 17 of 40
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━╸ 2,250/2,276 [ 0:00:02 < 0:00:01 , 1,612 it/s ]
INFO monophone - Iteration 18 of 40
INFO Generating alignments...
98% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 2,222/2,276 [ 0:00:05 < 0:00:01 , 542 it/s ]
INFO Accumulating statistics...
97% ━━━━━━━━━━━━━━━━━━━━━━━━━╺ 2,200/2,276 [ 0:00:02 < 0:00:01 , 1,700 it/s ]
INFO monophone - Iteration 19 of 40
INFO Accumulating statistics...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━ 2,276/2,276 [ 0:00:01 < 0:00:00 , 1,626 it/s ]
INFO monophone - Iteration 20 of 40
INFO Generating alignments...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 2,260/2,276 [ 0:00:04 < 0:00:01 , 631 it/s ]
INFO Accumulating statistics...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━ 2,276/2,276 [ 0:00:01 < 0:00:00 , 1,553 it/s ]
INFO monophone - Iteration 21 of 40
INFO Accumulating statistics...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━ 2,276/2,276 [ 0:00:01 < 0:00:00 , 1,616 it/s ]
INFO monophone - Iteration 22 of 40
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━╸ 2,250/2,276 [ 0:00:02 < 0:00:01 , 1,679 it/s ]
INFO monophone - Iteration 23 of 40
INFO Generating alignments...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 2,264/2,276 [ 0:00:04 < 0:00:01 , 628 it/s ]
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━╸ 2,250/2,276 [ 0:00:02 < 0:00:01 , 1,672 it/s ]
INFO monophone - Iteration 24 of 40
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━╸ 2,250/2,276 [ 0:00:02 < 0:00:01 , 1,618 it/s ]
INFO monophone - Iteration 25 of 40
INFO Accumulating statistics...
94% ━━━━━━━━━━━━━━━━━━━━━━━━╸━ 2,150/2,276 [ 0:00:02 < 0:00:01 , 1,415 it/s ]
INFO monophone - Iteration 26 of 40
INFO Generating alignments...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 2,249/2,276 [ 0:00:04 < 0:00:01 , 594 it/s ]
INFO Accumulating statistics...
97% ━━━━━━━━━━━━━━━━━━━━━━━━━╺ 2,200/2,276 [ 0:00:02 < 0:00:01 , 1,500 it/s ]
INFO monophone - Iteration 27 of 40
INFO Accumulating statistics...
94% ━━━━━━━━━━━━━━━━━━━━━━━━╸━ 2,150/2,276 [ 0:00:02 < 0:00:01 , 1,470 it/s ]
INFO monophone - Iteration 28 of 40
INFO Accumulating statistics...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━ 2,276/2,276 [ 0:00:01 < 0:00:00 , 1,497 it/s ]
INFO monophone - Iteration 29 of 40
INFO Generating alignments...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 2,258/2,276 [ 0:00:04 < 0:00:01 , 612 it/s ]
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━╸ 2,250/2,276 [ 0:00:02 < 0:00:01 , 1,476 it/s ]
INFO monophone - Iteration 30 of 40
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━╸ 2,250/2,276 [ 0:00:02 < 0:00:01 , 1,490 it/s ]
INFO monophone - Iteration 31 of 40
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━╸ 2,250/2,276 [ 0:00:02 < 0:00:01 , 1,494 it/s ]
INFO monophone - Iteration 32 of 40
INFO Generating alignments...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 2,264/2,276 [ 0:00:05 < 0:00:01 , 579 it/s ]
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━╸ 2,250/2,276 [ 0:00:02 < 0:00:01 , 1,425 it/s ]
INFO monophone - Iteration 33 of 40
INFO Accumulating statistics...
97% ━━━━━━━━━━━━━━━━━━━━━━━━━╺ 2,200/2,276 [ 0:00:02 < 0:00:01 , 1,454 it/s ]
INFO monophone - Iteration 34 of 40
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━╸ 2,250/2,276 [ 0:00:02 < 0:00:01 , 1,470 it/s ]
INFO monophone - Iteration 35 of 40
INFO Generating alignments...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 2,257/2,276 [ 0:00:04 < 0:00:01 , 594 it/s ]
INFO Accumulating statistics...
97% ━━━━━━━━━━━━━━━━━━━━━━━━━╺ 2,200/2,276 [ 0:00:02 < 0:00:01 , 1,441 it/s ]
INFO monophone - Iteration 36 of 40
INFO Accumulating statistics...
97% ━━━━━━━━━━━━━━━━━━━━━━━━━╺ 2,200/2,276 [ 0:00:02 < 0:00:01 , 1,418 it/s ]
INFO monophone - Iteration 37 of 40
INFO Accumulating statistics...
97% ━━━━━━━━━━━━━━━━━━━━━━━━━╺ 2,200/2,276 [ 0:00:02 < 0:00:01 , 1,422 it/s ]
INFO monophone - Iteration 38 of 40
INFO Generating alignments...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 2,246/2,276 [ 0:00:04 < 0:00:01 , 607 it/s ]
INFO Accumulating statistics...
94% ━━━━━━━━━━━━━━━━━━━━━━━━╸━ 2,150/2,276 [ 0:00:02 < 0:00:01 , 1,476 it/s ]
INFO monophone - Iteration 39 of 40
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━╸ 2,250/2,276 [ 0:00:02 < 0:00:01 , 1,363 it/s ]
INFO monophone - Iteration 40 of 40
INFO Accumulating statistics...
94% ━━━━━━━━━━━━━━━━━━━━━━━━╸━ 2,150/2,276 [ 0:00:02 < 0:00:01 , 1,448 it/s ]
INFO Training complete!
INFO Compiling training graphs...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2,276/2,276 [ 0:00:01 < 0:00:00 , ? it/s ]
INFO Generating alignments...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 2,265/2,276 [ 0:00:05 < 0:00:01 , 577 it/s ]
INFO Initializing training for triphone...
INFO Compiling training graphs...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2,276/2,276 [ 0:00:01 < 0:00:00 , ? it/s ]
INFO Converting alignments...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2,276/2,276 [ 0:00:00 < 0:00:00 , ? it/s ]
INFO Initialization complete!
INFO triphone - Iteration 1 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━╸ 2,250/2,276 [ 0:00:02 < 0:00:01 , 1,432 it/s ]
INFO triphone - Iteration 2 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━╸ 2,250/2,276 [ 0:00:02 < 0:00:01 , 1,334 it/s ]
INFO triphone - Iteration 3 of 35
INFO Accumulating statistics...
97% ━━━━━━━━━━━━━━━━━━━━━━━━━╺ 2,200/2,276 [ 0:00:02 < 0:00:01 , 1,269 it/s ]
INFO triphone - Iteration 4 of 35
INFO Accumulating statistics...
97% ━━━━━━━━━━━━━━━━━━━━━━━━━╺ 2,200/2,276 [ 0:00:03 < 0:00:01 , 1,161 it/s ]
INFO triphone - Iteration 5 of 35
INFO Accumulating statistics...
97% ━━━━━━━━━━━━━━━━━━━━━━━━━╺ 2,200/2,276 [ 0:00:03 < 0:00:01 , 1,164 it/s ]
INFO triphone - Iteration 6 of 35
INFO Accumulating statistics...
97% ━━━━━━━━━━━━━━━━━━━━━━━━━╺ 2,200/2,276 [ 0:00:03 < 0:00:01 , 1,075 it/s ]
INFO triphone - Iteration 7 of 35
INFO Accumulating statistics...
97% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 2,200/2,276 [ 0:00:03 < 0:00:01 , 994 it/s ]
INFO triphone - Iteration 8 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 2,250/2,276 [ 0:00:03 < 0:00:01 , 983 it/s ]
INFO triphone - Iteration 9 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 2,250/2,276 [ 0:00:03 < 0:00:01 , 895 it/s ]
INFO triphone - Iteration 10 of 35
INFO Generating alignments...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 2,257/2,276 [ 0:00:06 < 0:00:01 , 414 it/s ]
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 2,250/2,276 [ 0:00:03 < 0:00:01 , 838 it/s ]
INFO triphone - Iteration 11 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 2,250/2,276 [ 0:00:04 < 0:00:01 , 756 it/s ]
INFO triphone - Iteration 12 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 2,250/2,276 [ 0:00:04 < 0:00:01 , 648 it/s ]
INFO triphone - Iteration 13 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 2,250/2,276 [ 0:00:05 < 0:00:01 , 568 it/s ]
INFO triphone - Iteration 14 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 2,250/2,276 [ 0:00:05 < 0:00:01 , 466 it/s ]
INFO triphone - Iteration 15 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 2,250/2,276 [ 0:00:07 < 0:00:01 , 381 it/s ]
INFO triphone - Iteration 16 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 2,250/2,276 [ 0:00:07 < 0:00:01 , 333 it/s ]
INFO triphone - Iteration 17 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 2,250/2,276 [ 0:00:09 < 0:00:01 , 282 it/s ]
INFO triphone - Iteration 18 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 2,250/2,276 [ 0:00:09 < 0:00:01 , 256 it/s ]
INFO triphone - Iteration 19 of 35
INFO Accumulating statistics...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2,276/2,276 [ 0:00:10 < 0:00:00 , 212 it/s ]
INFO triphone - Iteration 20 of 35
INFO Generating alignments...
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INFO Accumulating statistics...
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INFO triphone - Iteration 21 of 35
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INFO triphone - Iteration 22 of 35
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INFO triphone - Iteration 23 of 35
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INFO triphone - Iteration 24 of 35
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INFO triphone - Iteration 25 of 35
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INFO triphone - Iteration 26 of 35
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INFO triphone - Iteration 27 of 35
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INFO triphone - Iteration 28 of 35
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INFO triphone - Iteration 29 of 35
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INFO triphone - Iteration 30 of 35
INFO Generating alignments...
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INFO triphone - Iteration 31 of 35
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INFO triphone - Iteration 32 of 35
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INFO triphone - Iteration 33 of 35
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INFO triphone - Iteration 34 of 35
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INFO triphone - Iteration 35 of 35
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INFO Training complete!
INFO Compiling training graphs...
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INFO Generating alignments...
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INFO Initializing training for lda...
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INFO Compiling training graphs...
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INFO Converting alignments...
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INFO Initialization complete!
INFO lda - Iteration 1 of 35
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INFO lda - Iteration 2 of 35
INFO Re-calculating LDA...
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INFO lda - Iteration 3 of 35
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INFO lda - Iteration 4 of 35
INFO Re-calculating LDA...
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INFO Accumulating statistics...
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INFO lda - Iteration 5 of 35
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INFO lda - Iteration 6 of 35
INFO Re-calculating LDA...
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INFO lda - Iteration 7 of 35
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INFO lda - Iteration 8 of 35
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INFO lda - Iteration 9 of 35
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INFO lda - Iteration 10 of 35
INFO Generating alignments...
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INFO Accumulating statistics...
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INFO lda - Iteration 11 of 35
INFO Accumulating statistics...
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INFO lda - Iteration 12 of 35
INFO Re-calculating LDA...
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INFO lda - Iteration 13 of 35
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INFO lda - Iteration 14 of 35
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INFO lda - Iteration 15 of 35
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INFO lda - Iteration 16 of 35
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INFO lda - Iteration 17 of 35
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INFO lda - Iteration 18 of 35
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INFO lda - Iteration 19 of 35
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INFO lda - Iteration 20 of 35
INFO Generating alignments...
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INFO Accumulating statistics...
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INFO lda - Iteration 21 of 35
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INFO lda - Iteration 22 of 35
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INFO lda - Iteration 23 of 35
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INFO lda - Iteration 24 of 35
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INFO lda - Iteration 25 of 35
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INFO lda - Iteration 26 of 35
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INFO lda - Iteration 27 of 35
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INFO lda - Iteration 28 of 35
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INFO lda - Iteration 29 of 35
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INFO lda - Iteration 30 of 35
INFO Generating alignments...
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INFO lda - Iteration 31 of 35
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INFO lda - Iteration 32 of 35
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INFO lda - Iteration 33 of 35
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INFO lda - Iteration 34 of 35
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INFO lda - Iteration 35 of 35
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INFO Training complete!
INFO Compiling training graphs...
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INFO Generating alignments...
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INFO Initializing training for sat...
INFO Calculating fMLLR for speaker adaptation...
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INFO Converting alignments...
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INFO Compiling training graphs...
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INFO Initialization complete!
INFO sat - Iteration 1 of 35
INFO Accumulating statistics...
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INFO sat - Iteration 2 of 35
INFO Calculating fMLLR for speaker adaptation...
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INFO sat - Iteration 3 of 35
INFO Accumulating statistics...
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INFO sat - Iteration 4 of 35
INFO Calculating fMLLR for speaker adaptation...
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INFO Accumulating statistics...
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INFO sat - Iteration 5 of 35
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INFO sat - Iteration 6 of 35
INFO Calculating fMLLR for speaker adaptation...
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INFO Accumulating statistics...
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INFO sat - Iteration 7 of 35
INFO Accumulating statistics...
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INFO sat - Iteration 8 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 2,250/2,276 [ 0:00:07 < 0:00:01 , 361 it/s ]
INFO sat - Iteration 9 of 35
INFO Accumulating statistics...
99% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 2,250/2,276 [ 0:00:08 < 0:00:01 , 296 it/s ]
INFO sat - Iteration 10 of 35
INFO Generating alignments...
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INFO Accumulating statistics...
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INFO sat - Iteration 11 of 35
INFO Accumulating statistics...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2,276/2,276 [ 0:00:10 < 0:00:00 , 211 it/s ]
INFO sat - Iteration 12 of 35
INFO Calculating fMLLR for speaker adaptation...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1/1 [ 0:00:02 < 0:00:00 , ? it/s ]
INFO Accumulating statistics...
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INFO sat - Iteration 13 of 35
INFO Accumulating statistics...
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INFO sat - Iteration 14 of 35
INFO Accumulating statistics...
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INFO sat - Iteration 15 of 35
INFO Accumulating statistics...
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INFO sat - Iteration 16 of 35
INFO Accumulating statistics...
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INFO sat - Iteration 17 of 35
INFO Accumulating statistics...
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INFO sat - Iteration 18 of 35
INFO Accumulating statistics...
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INFO sat - Iteration 19 of 35
INFO Accumulating statistics...
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INFO sat - Iteration 20 of 35
INFO Generating alignments...
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INFO Accumulating statistics...
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INFO sat - Iteration 21 of 35
INFO Accumulating statistics...
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INFO sat - Iteration 22 of 35
INFO Accumulating statistics...
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INFO sat - Iteration 23 of 35
INFO Accumulating statistics...
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INFO sat - Iteration 24 of 35
INFO Accumulating statistics...
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INFO sat - Iteration 25 of 35
INFO Accumulating statistics...
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INFO sat - Iteration 26 of 35
INFO Accumulating statistics...
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INFO sat - Iteration 27 of 35
INFO Accumulating statistics...
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INFO sat - Iteration 28 of 35
INFO Accumulating statistics...
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INFO sat - Iteration 29 of 35
INFO Accumulating statistics...
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INFO sat - Iteration 30 of 35
INFO Generating alignments...
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INFO Accumulating statistics...
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INFO sat - Iteration 31 of 35
INFO Accumulating statistics...
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INFO sat - Iteration 32 of 35
INFO Accumulating statistics...
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INFO sat - Iteration 33 of 35
INFO Accumulating statistics...
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INFO sat - Iteration 34 of 35
INFO Accumulating statistics...
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INFO sat - Iteration 35 of 35
INFO Accumulating statistics...
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INFO Creating alignment model for speaker-independent features...
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INFO Training complete!
INFO Compiling training graphs...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2,276/2,276 [ 0:00:01 < 0:00:00 , ? it/s ]
INFO Generating alignments...
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INFO Calculating fMLLR for speaker adaptation...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1/1 [ 0:00:02 < 0:00:00 , ? it/s ]
INFO Generating alignments...
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INFO Initializing training for sat_2...
INFO Converting alignments...
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INFO Compiling training graphs...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2,276/2,276 [ 0:00:01 < 0:00:00 , ? it/s ]
INFO Initialization complete!
INFO sat_2 - Iteration 1 of 35
INFO Accumulating statistics...
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INFO sat_2 - Iteration 2 of 35
INFO Calculating fMLLR for speaker adaptation...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1/1 [ 0:00:02 < 0:00:00 , ? it/s ]
INFO Accumulating statistics...
97% ━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 2,200/2,276 [ 0:00:03 < 0:00:01 , 917 it/s ]
INFO sat_2 - Iteration 3 of 35
INFO Accumulating statistics...
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INFO sat_2 - Iteration 4 of 35
INFO Calculating fMLLR for speaker adaptation...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1/1 [ 0:00:01 < 0:00:00 , ? it/s ]
INFO Accumulating statistics...
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INFO sat_2 - Iteration 5 of 35
INFO Accumulating statistics...
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INFO sat_2 - Iteration 6 of 35
INFO Calculating fMLLR for speaker adaptation...
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INFO Accumulating statistics...
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INFO sat_2 - Iteration 7 of 35
INFO Accumulating statistics...
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INFO sat_2 - Iteration 8 of 35
INFO Accumulating statistics...
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INFO sat_2 - Iteration 9 of 35
INFO Accumulating statistics...
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INFO sat_2 - Iteration 10 of 35
INFO Generating alignments...
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INFO Accumulating statistics...
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INFO sat_2 - Iteration 11 of 35
INFO Accumulating statistics...
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INFO sat_2 - Iteration 12 of 35
INFO Calculating fMLLR for speaker adaptation...
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INFO Accumulating statistics...
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INFO sat_2 - Iteration 13 of 35
INFO Accumulating statistics...
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INFO sat_2 - Iteration 14 of 35
INFO Accumulating statistics...
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INFO sat_2 - Iteration 15 of 35
INFO Accumulating statistics...
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INFO sat_2 - Iteration 16 of 35
INFO Accumulating statistics...
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INFO sat_2 - Iteration 17 of 35
INFO Accumulating statistics...
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INFO sat_2 - Iteration 18 of 35
INFO Accumulating statistics...
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INFO sat_2 - Iteration 19 of 35
INFO Accumulating statistics...
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INFO sat_2 - Iteration 20 of 35
INFO Generating alignments...
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INFO Accumulating statistics...
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INFO sat_2 - Iteration 21 of 35
INFO Accumulating statistics...
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INFO sat_2 - Iteration 22 of 35
INFO Accumulating statistics...
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INFO sat_2 - Iteration 23 of 35
INFO Accumulating statistics...
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INFO sat_2 - Iteration 24 of 35
INFO Accumulating statistics...
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INFO sat_2 - Iteration 25 of 35
INFO Accumulating statistics...
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INFO sat_2 - Iteration 26 of 35
INFO Accumulating statistics...
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INFO sat_2 - Iteration 27 of 35
INFO Accumulating statistics...
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INFO sat_2 - Iteration 28 of 35
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INFO sat_2 - Iteration 29 of 35
INFO Accumulating statistics...
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INFO sat_2 - Iteration 30 of 35
INFO Generating alignments...
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INFO Accumulating statistics...
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INFO sat_2 - Iteration 31 of 35
INFO Accumulating statistics...
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INFO sat_2 - Iteration 32 of 35
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INFO Creating alignment model for speaker-independent features...
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INFO Training complete!
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INFO Generating alignments...
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INFO Calculating fMLLR for speaker adaptation...
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INFO Generating alignments...
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INFO Generating pronunciations...
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INFO Compiling training graphs...
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INFO Generating alignments...
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INFO Generating alignments...
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INFO Initializing training for sat_3...
INFO Converting alignments...
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INFO Compiling training graphs...
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INFO Initialization complete!
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INFO Creating alignment model for speaker-independent features...
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INFO Training complete!
INFO Exiting training early to save time as the corpus is below the subset
size for later training stages
INFO Compiling training graphs...
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INFO Generating alignments...
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INFO Generating alignments...
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INFO Accumulating transition stats...
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INFO Finished accumulating transition stats!
INFO Collecting phone and word alignments from sat_3_ali lattices...
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INFO Beginning phone LM training...
INFO Collecting training data...
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INFO Training model...
INFO Completed training in 7754.0635895729065 seconds!
INFO Saved model to all-model
WARNING Alignment analysis not available without using postgresql
INFO Exporting sat_3_ali TextGrids to /tmp/textgrid-all...
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INFO Finished exporting TextGrids to /tmp/textgrid-all!
INFO Done! Everything took 7795.071 seconds
/opt/conda/lib/python3.10/site-packages/scipy/__init__.py:146: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.24.4
warnings.warn(f"A NumPy version >={np_minversion} and <{np_maxversion}"
INFO Training aligner
INFO Calculating alignments...
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INFO Best likelihood: -4.57581
INFO Completed computing alignments!
INFO Encoding the alignments as FSAs
INFO Success! FAR path:
/tmp/mfa-temp/lexicon-ulster/train_g2p/lexicon-ulster.far; encoder
path: /tmp/mfa-temp/lexicon-ulster/train_g2p/lexicon-ulster.enc
INFO Saved model to g2p-ulster
INFO Done! Everything took 29.555 seconds
/opt/conda/lib/python3.10/site-packages/scipy/__init__.py:146: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.24.4
warnings.warn(f"A NumPy version >={np_minversion} and <{np_maxversion}"
INFO Training aligner
INFO Calculating alignments...
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INFO Best likelihood: -4.86911
INFO Completed computing alignments!
INFO Encoding the alignments as FSAs
INFO Success! FAR path:
/tmp/mfa-temp/lexicon-munster/train_g2p/lexicon-munster.far; encoder
path: /tmp/mfa-temp/lexicon-munster/train_g2p/lexicon-munster.enc
INFO Saved model to g2p-munster
INFO Done! Everything took 25.841 seconds
/opt/conda/lib/python3.10/site-packages/scipy/__init__.py:146: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.24.4
warnings.warn(f"A NumPy version >={np_minversion} and <{np_maxversion}"
INFO Training aligner
INFO Calculating alignments...
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INFO Best likelihood: -4.7599
INFO Completed computing alignments!
INFO Encoding the alignments as FSAs
INFO Success! FAR path:
/tmp/mfa-temp/lexicon-connaught/train_g2p/lexicon-connaught.far;
encoder path:
/tmp/mfa-temp/lexicon-connaught/train_g2p/lexicon-connaught.enc
INFO Saved model to g2p-connaught
INFO Done! Everything took 24.935 seconds
/opt/conda/lib/python3.10/site-packages/scipy/__init__.py:146: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.24.4
warnings.warn(f"A NumPy version >={np_minversion} and <{np_maxversion}"
INFO Training aligner
INFO Calculating alignments...
100% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 250/250 [ 0:01:03 < 0:00:00 , 4 it/s ]
INFO Best likelihood: -5.08084
INFO Completed computing alignments!
INFO Encoding the alignments as FSAs
INFO Success! FAR path:
/tmp/mfa-temp/lexicon-all/train_g2p/lexicon-all.far; encoder path:
/tmp/mfa-temp/lexicon-all/train_g2p/lexicon-all.enc
INFO Saved model to g2p-all
INFO Done! Everything took 67.876 seconds