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make_trainset_statistics.sh
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make_trainset_statistics.sh
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#!/bin/bash
libri=false
libri_alldeltas=false
genhlibri_allder2_5reg=true
libri_kaldi=false
swbd=false
ami=false
libri_ami=false
libri_ami_sdm=false
libri_ami_swbd=false
chime5=false
chime5_libri=false
$libri && {
python make_trainset_statistics.py \
--data_root /tmp-corpora/LibriSpeech_50h/wav_sel \
--data_cfg /tmp-corpora/LibriSpeech_50h/librispeech_data_50h.cfg \
--num_workers 5 \
--kaldi_root /disks/data1/pawel/repos/kaldi \
--out_file data/librispeech_tmp_stats.pkl
}
$genhlibri_allder2_5reg && {
der=2
python make_trainset_statistics.py \
--data_root data/GEnhancement/LibriSpeech \
--data_cfg data/GEnhancement/librispeech_clean.cfg \
--num_workers 10 --max_batches=30 \
--net_cfg cfg/workers5reg_L2regularizer_allder2.cfg \
--out_file data/librispeech_clean_allder2.pkl
}
$libri_alldeltas && {
der=3
python make_trainset_statistics.py \
--data_root data/LibriSpeech_50h/wav_sel \
--data_cfg data/LibriSpeech_50h/librispeech_data_50h.cfg \
--num_workers 10 --max_batches=30 \
--mfccs_order 13 \
--LPS_der_order $der --gammatone_der_order $der --fbanks_der_order $der --mfccs_der_order $der \
--mfccs_librosa_order 13 --mfccs_librosa_n_mels 40 --mfccs_librosa_der_order $der \
--kaldimfccs_num_ceps 13 --kaldimfccs_num_mel_bins 40 --kaldimfccs_der_order $der \
--kaldi_root /disks/data1/pawel/repos/kaldi \
--out_file data/librispeech_50h_stats_all_der$der.pkl
}
$libri_kaldi && {
python make_trainset_statistics.py \
--data_root /tmp-corpora/LibriSpeech_50h/wav_sel \
--data_cfg /tmp-corpora/LibriSpeech_50h/librispeech_data_50h.cfg \
--num_workers 10 --max_batches=30 \
--kaldi_root /disks/data1/pawel/repos/kaldi \
--kaldimfccs_num_mel_bins 40 --kaldimfccs_num_ceps 13 --kaldimfccs_der_order 2 \
--out_file data/librispeech_50h_stats_kaldimfcc_der.pkl
}
$libri_ami && {
python make_trainset_statistics.py \
--num_workers 5 --max_batches 50 \
--data_root data/LibriSpeech_50h/wav_sel \
--data_cfg data/LibriSpeech_50h/librispeech_data_50h.cfg \
--dataset PairWavDataset \
--data_root data/ami \
--data_cfg data/ami_data_ihm_sdm1357.cfg \
--dataset AmiSegTupleWavDataset \
--out_file data/libri_ami_ihm_stats.pkl
}
$libri_ami_sdm && {
python make_trainset_statistics.py \
--num_workers 5 --max_batches 50 \
--data_root data/LibriSpeech_50h/wav_sel \
--data_cfg data/LibriSpeech_50h/librispeech_data_50h.cfg \
--dataset PairWavDataset \
--data_root data/ami \
--data_cfg data/ami_data_ihm_sdm1357.cfg \
--dataset AmiSegTupleWavDataset \
--ihm2sdm 1,3,5,7 \
--out_file data/libri_ami_sdm_stats.pkl
}
$libri_ami_swbd && {
python make_trainset_statistics.py \
--num_workers 5 --max_batches 50 \
--data_root data/LibriSpeech_50h/wav_sel \
--data_cfg data/LibriSpeech_50h/librispeech_data_50h.cfg \
--dataset PairWavDataset \
--data_root data/ami \
--data_cfg data/ami_data_ihm_sdm1357.cfg \
--dataset AmiSegTupleWavDataset \
--data_root . \
--data_cfg data/swbd1_30k.cfg \
--dataset PairWavDataset \
--out_file data/libri_ami_swbd_stats.pkl
}
$chime5 && {
python make_trainset_statistics.py \
--num_workers 5 --max_batches 30 \
--data_root /tmp-corpora/chime5segmented \
--data_cfg data/chime5_seg_matched.cfg \
--dataset AmiSegTupleWavDataset \
--kaldi_root /disks/data1/pawel/repos/kaldi \
--out_file data/chime5_seg_matched_kaldimfcc_plp_stats.pkl
}
$chime5_libri && {
python make_trainset_statistics.py \
--num_workers 5 --max_batches 50 \
--data_root /tmp-corpora/chime5segmented \
--data_cfg data/chime5_seg_matched.cfg \
--dataset AmiSegTupleWavDataset \
--data_root /tmp-corpora/LibriSpeech_50h/wav_sel \
--data_cfg data/LibriSpeech_50h/librispeech_data_50h.cfg \
--dataset LibriSpeechSegTupleWavDataset \
--out_file data/chime5_libri_seg_matched_stats.pkl
}