日志

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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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