Comments (2)
Please check out this issue:
jefflai108/Attentive-Filtering-Network#3
An example of spk2utt for this dataset would be:
LA_E_1000147 LA_E_1000147-LA_E_1000147
LA_E_1000273 LA_E_1000273-LA_E_1000273
LA_E_1000791 LA_E_1000791-LA_E_1000791
LA_E_1000841 LA_E_1000841-LA_E_1000841
Let me know if you have further trouble :)
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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
Millions of thanks in advance
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Related Issues (20)
- How did you do system combination for your primary model? HOT 1
- It is easy to overfit HOT 1
- logspec feature extraction from run_features.sh HOT 1
- example of utt2systemID
- the missing bash script ‘make_spectrogram.sh’ HOT 16
- post() function for class analysis
- can you give me some guidance on how to use Bosaris toolkit HOT 1
- run_feature.sh: line 46: utils/copy_data_dir.sh: No such file or directory
- utt2systemID_file?
- Initialization has great impact on detection performance? HOT 1
- Parameters/Configurations of the pretrained models
- Docker availability?
- How to create .scp and utt2spk
- Question related to run_feature.sh HOT 6
- No such file or directory: u'data_reader/feats/la_dev_spec_tensor4.scp' HOT 1
- problem in main.py HOT 3
- the pretrained/pa/senet34 is binary_class? HOT 3
- How using python to get the logspec? HOT 1
- the problem of training model by SENet34 HOT 5
- focal_loss can help decrease the eer? HOT 1
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