Clarin-Studio Polish Train mono 1-30
First 30 steps of training
Original on Kaggle
%cd /opt
%%capture
!tar xvf /kaggle/input/extract-prebuilt-kaldi-from-docker/kaldi.tar
%cd kaldi/egs
!git clone https://github.com/danijel3/ClarinStudioKaldi
%cd ClarinStudioKaldi
!conda install -c bioconda perl-perlio-gzip -y
import os
#os.environ['LD_LIBRARY_PATH'] = f'{os.environ["LD_LIBRARY_PATH"]}:/opt/kaldi/tools/openfst-1.6.7/lib:/opt/kaldi/src/lib'
os.environ['LD_LIBRARY_PATH'] = '/opt/conda/lib:/opt/kaldi/tools/openfst-1.6.7/lib:/opt/kaldi/src/lib'
!cat path.sh|sed -e 's/~\/apps/\/opt/' > tmp
!mv tmp path.sh
!echo > local_clarin/clarin_pl_clean.sh
!ln -s ../wsj/s5/steps
!ln -s ../wsj/s5/conf
!ln -s ../wsj/s5/local
!ln -s ../wsj/s5/utils
!cp -r /kaggle/input/kaldi-clarinstudio-polish-data-prep/data /kaggle/working/
!mkdir /kaggle/working/exp
!ln -s /kaggle/working/exp
!ln -s /kaggle/working/data
!bash steps/train_mono.sh --nj 40 --num_iters 30 data/train data/lang_nosp exp/mono0