Setting up the LibriSpeech Kaldi model on Kaggle: see here

%%capture
!wget http://kaldi-asr.org/models/13/0013_librispeech_v1_chain.tar.gz
!wget http://kaldi-asr.org/models/13/0013_librispeech_v1_extractor.tar.gz
!wget http://kaldi-asr.org/models/13/0013_librispeech_v1_lm.tar.gz
%%capture
!for i in *.tar.gz;do tar zxvf $i;done
!find . -type l
!find . -type l -exec ls -al {} \;
./exp/chain_cleaned/tdnn_1d_sp/configs/lda.mat
./exp/nnet3_cleaned/extractor/final.ie
lrwxrwxrwx 1 61208 fax 10 Feb  2  2020 ./exp/chain_cleaned/tdnn_1d_sp/configs/lda.mat -> ../lda.mat
lrwxrwxrwx 1 61208 fax 5 Feb  2  2020 ./exp/nnet3_cleaned/extractor/final.ie -> 10.ie
!rm exp/chain_cleaned/tdnn_1d_sp/configs/lda.mat
!rm exp/nnet3_cleaned/extractor/final.ie
!cp exp/chain_cleaned/tdnn_1d_sp/lda.mat exp/chain_cleaned/tdnn_1d_sp/configs/lda.mat
!cp exp/nnet3_cleaned/extractor/10.ie exp/nnet3_cleaned/extractor/final.ie