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mengweilun@mengweilun-Lenovo-ideapad-Y700-15ISK:~/kaldi-master/egs/timit/s5$ sudo local/timit_data_prep.sh /home/mengweilun/kaldi-master/egs/timit/s5/data/lisa/data/timit/raw/TIMIT/
[sudo] mengweilun 的密码:
wav-to-duration --read-entire-file=true scp:train_wav.scp ark,t:train_dur.ark
LOG (wav-to-duration[5.4]:main():wav-to-duration.cc:92) Printed duration for 3696 audio files.
LOG (wav-to-duration[5.4]:main():wav-to-duration.cc:94) Mean duration was 3.06336, min and max durations were 0.91525, 7.78881
wav-to-duration --read-entire-file=true scp:dev_wav.scp ark,t:dev_dur.ark
LOG (wav-to-duration[5.4]:main():wav-to-duration.cc:92) Printed duration for 400 audio files.
LOG (wav-to-duration[5.4]:main():wav-to-duration.cc:94) Mean duration was 3.08212, min and max durations were 1.09444, 7.43681
wav-to-duration --read-entire-file=true scp:test_wav.scp ark,t:test_dur.ark
LOG (wav-to-duration[5.4]:main():wav-to-duration.cc:92) Printed duration for 192 audio files.
LOG (wav-to-duration[5.4]:main():wav-to-duration.cc:94) Mean duration was 3.03646, min and max durations were 1.30562, 6.21444
Data preparation succeeded
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mengweilun@mengweilun-Lenovo-ideapad-Y700-15ISK:~/kaldi-master/egs/timit/s5$ sudo steps/make_mfcc.sh data/train/ exp/make_mfcc/train/make_mfcc_train.4
steps/make_mfcc.sh data/train/ exp/make_mfcc/train/make_mfcc_train.4
steps/make_mfcc.sh: moving data/train//feats.scp to data/train//.backup
utils/validate_data_dir.sh: Successfully validated data-directory data/train/
steps/make_mfcc.sh: [info]: no segments file exists: assuming wav.scp indexed by utterance.
Succeeded creating MFCC features for train
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mengweilun@mengweilun-Lenovo-ideapad-Y700-15ISK:~/kaldi-master/egs/timit/s5$ sudo steps/make_mfcc.sh data/train/ exp/make_mfcc/test/make_mfcc_test.4
steps/make_mfcc.sh data/train/ exp/make_mfcc/test/make_mfcc_test.4
steps/make_mfcc.sh: moving data/train//feats.scp to data/train//.backup
utils/validate_data_dir.sh: Successfully validated data-directory data/train/
steps/make_mfcc.sh: [info]: no segments file exists: assuming wav.scp indexed by utterance.
Succeeded creating MFCC features for train
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mengweilun@mengweilun-Lenovo-ideapad-Y700-15ISK:~/kaldi-master/egs/timit/s5$ sudo steps/make_mfcc.sh data/train/ exp/make_mfcc/dev/make_mfcc_dev.4
steps/make_mfcc.sh data/train/ exp/make_mfcc/dev/make_mfcc_dev.4
steps/make_mfcc.sh: moving data/train//feats.scp to data/train//.backup
utils/validate_data_dir.sh: Successfully validated data-directory data/train/
steps/make_mfcc.sh: [info]: no segments file exists: assuming wav.scp indexed by utterance.
Succeeded creating MFCC features for train
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mengweilun@mengweilun-Lenovo-ideapad-Y700-15ISK:~/kaldi-master/egs/timit/s5$ sudo steps/train_mono.sh data/train/ data/lang exp/mono
steps/train_mono.sh data/train/ data/lang exp/mono
steps/train_mono.sh: Initializing monophone system.
steps/train_mono.sh: Compiling training graphs
steps/train_mono.sh: Aligning data equally (pass 0)
steps/train_mono.sh: Pass 1
steps/train_mono.sh: Aligning data
steps/train_mono.sh: Pass 2
steps/train_mono.sh: Aligning data
steps/train_mono.sh: Pass 3
steps/train_mono.sh: Aligning data
steps/train_mono.sh: Pass 4
steps/train_mono.sh: Aligning data
steps/train_mono.sh: Pass 5
steps/train_mono.sh: Aligning data
steps/train_mono.sh: Pass 6
steps/train_mono.sh: Aligning data
steps/train_mono.sh: Pass 7
steps/train_mono.sh: Aligning data
steps/train_mono.sh: Pass 8
steps/train_mono.sh: Aligning data
steps/train_mono.sh: Pass 9
steps/train_mono.sh: Aligning data
steps/train_mono.sh: Pass 10
steps/train_mono.sh: Aligning data
steps/train_mono.sh: Pass 11
steps/train_mono.sh: Pass 12
steps/train_mono.sh: Aligning data
steps/train_mono.sh: Pass 13
steps/train_mono.sh: Pass 14
steps/train_mono.sh: Aligning data
steps/train_mono.sh: Pass 15
steps/train_mono.sh: Pass 16
steps/train_mono.sh: Aligning data
steps/train_mono.sh: Pass 17
steps/train_mono.sh: Pass 18
steps/train_mono.sh: Aligning data
steps/train_mono.sh: Pass 19
steps/train_mono.sh: Pass 20
steps/train_mono.sh: Aligning data
steps/train_mono.sh: Pass 21
steps/train_mono.sh: Pass 22
steps/train_mono.sh: Pass 23
steps/train_mono.sh: Aligning data
steps/train_mono.sh: Pass 24
steps/train_mono.sh: Pass 25
steps/train_mono.sh: Pass 26
steps/train_mono.sh: Aligning data
steps/train_mono.sh: Pass 27
steps/train_mono.sh: Pass 28
steps/train_mono.sh: Pass 29
steps/train_mono.sh: Aligning data
steps/train_mono.sh: Pass 30
steps/train_mono.sh: Pass 31
steps/train_mono.sh: Pass 32
steps/train_mono.sh: Aligning data
steps/train_mono.sh: Pass 33
steps/train_mono.sh: Pass 34
steps/train_mono.sh: Pass 35
steps/train_mono.sh: Aligning data
steps/train_mono.sh: Pass 36
steps/train_mono.sh: Pass 37
steps/train_mono.sh: Pass 38
steps/train_mono.sh: Aligning data
steps/train_mono.sh: Pass 39
steps/diagnostic/analyze_alignments.sh --cmd run.pl data/lang exp/mono
steps/diagnostic/analyze_alignments.sh: see stats in exp/mono/log/analyze_alignments.log
3 warnings in exp/mono/log/align.*.*.log
exp/mono: nj=4 align prob=-99.15 over 3.12h [retry=0.0%, fail=0.0%] states=144 gauss=986
steps/train_mono.sh: Done training monophone system in exp/mono
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mengweilun@mengweilun-Lenovo-ideapad-Y700-15ISK:~/kaldi-master/egs/timit/s5$ utils/mkgraph.sh --mono data/lang exp/mono exp/mono/graph
WARNING: the --mono, --left-biphone and --quinphone options are now deprecated and ignored.
mkgraph.sh: expected data/lang/G.fst to exist
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