Question related to run_feature.sh

[DeeDive]

Hi @jefflai108 ,

I've successfully created scp file with your help.

To extract logspec used in the paper, I changed the $stage in run_feature.sh to 0 .
File local/make_spectrogram.sh is missing, so I copied the one from your AFN repo.

But it seems that feature extraction processes in make_spectrogram.sh does not work properly since the resource usage is almost zero. Is there anything wrong with me?

fix_data_dir.sh: kept all 134730 utterances.
fix_data_dir.sh: old files are kept in data/pa_eval/.backup
utils/copy_data_dir.sh: copied data from data/pa_eval to data/pa_eval_spec
utils/validate_data_dir.sh: Successfully validated data-directory data/pa_eval_spec
local/make_spectrogram.sh --fbank-config conf/spec.conf --nj 40 --cmd run.pl data/pa_eval_spec exp/make_spec /home/bill/ASSERT/features/logspec
utils/validate_data_dir.sh: Successfully validated data-directory data/pa_eval_spec
local/make_spectrogram.sh: [info]: no segments file exists: assuming wav.scp indexed by utterance.
run.pl: 40 / 40 failed, log is in exp/make_spec/make_fbank_pa_eval_spec.*.log

And I have another question that what's the difference between spec and logspec, is the latter one better for the task?

Millions of thanks in advance

[jefflai108]

Could you post one of the log files: exp/make_spec/make_fbank_pa_eval_spec.*.log

It is a common practice (in speech) to take the log-scale on the magnitude spectrogram.

[DeeDive]

This is one of them, and thanks for your reply.
make_fbank_pa_eval_spec.1.log

[jefflai108]

seems like there's something wrong with you wav.scp
ERROR (compute-spectrogram-feats[5.5.424~1-b5385]:Read():wave-reader.cc:122) WaveData: expected RIFF or RIFX, got fLaC

This is an example of my wav.scp and you can read more about data preparation for Kaldi.
LA_E_1003228-LA_E_1003228 sox /export/b14/jlai/ASVspoof2019-data/LA/ASVspoof2019_LA_eval/flac/LA_E_1003228.flac -r 16k -t wav -b 16 -e signed-integer - |
LA_E_1004363-LA_E_1004363 sox /export/b14/jlai/ASVspoof2019-data/LA/ASVspoof2019_LA_eval/flac/LA_E_1004363.flac -r 16k -t wav -b 16 -e signed-integer - |
LA_E_1005565-LA_E_1005565 sox /export/b14/jlai/ASVspoof2019-data/LA/ASVspoof2019_LA_eval/flac/LA_E_1005565.flac -r 16k -t wav -b 16 -e signed-integer - |

[DeeDive]

It works, thx:)

[wuqiangch]

@InfiniteStudy
I have successfully get the feature by run_feature.sh.But I dont know how to generate these files in main.py
data_files = { # training
'train_scp': 'data_reader/feats/la_train_spec_tensor4.scp',
'train_utt2index': 'data_reader/utt2systemID/la_train_utt2index_8',
'dev_scp': 'data_reader/feats/la_dev_spec_tensor4.scp',
'dev_utt2index': 'data_reader/utt2systemID/la_dev_utt2index_8',
'dev_utt2systemID': 'data_reader/utt2systemID/la_dev_utt2systemID',
'scoring_dir': 'scoring/la_cm_scores/',
}

[braveheartwithlove]

@wuqiangch are you able to generate the files above?