ASR

log1.txt

/home/anhv/anaconda3/envs/automatic_speech_recognition/bin/python /home/anhv/PycharmProjects/undertheseanlp/automatic_speech_recognition/egs/vivos/train.py --kaldi_folder /home/anhv/PycharmProjects/kaldi-trunk --corpus_folder /home/anhv/PycharmProjects/undertheseanlp/automatic_speech_recognition/data/vivos/corpus --nj 10
Init Kaldi Speech Recognition in uts_734 folder

===== PREPARING ACOUSTIC DATA =====


===== FEATURES EXTRACTION =====

steps/make_mfcc.sh --nj 10 --cmd run.pl data/train exp/make_mfcc/train mfcc
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
steps/make_mfcc.sh --nj 10 --cmd run.pl data/test exp/make_mfcc/test mfcc
utils/validate_data_dir.sh: WARNING: you have only one speaker.  This probably a bad idea.
   Search for the word 'bold' in http://kaldi-asr.org/doc/data_prep.html
   for more information.
utils/validate_data_dir.sh: Successfully validated data-directory data/test
steps/make_mfcc.sh: [info]: no segments file exists: assuming wav.scp indexed by utterance.
Succeeded creating MFCC features for test
steps/compute_cmvn_stats.sh data/train exp/make_mfcc/train mfcc
Succeeded creating CMVN stats for train
steps/compute_cmvn_stats.sh data/test exp/make_mfcc/test mfcc
Succeeded creating CMVN stats for test

===== PREPARING LANGUAGE DATA =====

utils/prepare_lang.sh data/local/dict <UNK> data/local/lang data/lang
Checking data/local/dict/silence_phones.txt ...
--> reading data/local/dict/silence_phones.txt
--> text seems to be UTF-8 or ASCII, checking whitespaces
--> text contains only allowed whitespaces
--> data/local/dict/silence_phones.txt is OK

Checking data/local/dict/optional_silence.txt ...
--> reading data/local/dict/optional_silence.txt
--> text seems to be UTF-8 or ASCII, checking whitespaces
--> text contains only allowed whitespaces
--> data/local/dict/optional_silence.txt is OK

Checking data/local/dict/nonsilence_phones.txt ...
--> reading data/local/dict/nonsilence_phones.txt
--> text seems to be UTF-8 or ASCII, checking whitespaces
--> text contains only allowed whitespaces
--> data/local/dict/nonsilence_phones.txt is OK

Checking disjoint: silence_phones.txt, nonsilence_phones.txt
--> disjoint property is OK.

Checking data/local/dict/lexicon.txt
--> reading data/local/dict/lexicon.txt
--> text seems to be UTF-8 or ASCII, checking whitespaces
--> text contains only allowed whitespaces
--> data/local/dict/lexicon.txt is OK

Checking data/local/dict/extra_questions.txt ...
--> data/local/dict/extra_questions.txt is empty (this is OK)
--> SUCCESS [validating dictionary directory data/local/dict]

**Creating data/local/dict/lexiconp.txt from data/local/dict/lexicon.txt
fstaddselfloops data/lang/phones/wdisambig_phones.int data/lang/phones/wdisambig_words.int 
prepare_lang.sh: validating output directory
utils/validate_lang.pl data/lang
Checking data/lang/phones.txt ...
--> text seems to be UTF-8 or ASCII, checking whitespaces
--> text contains only allowed whitespaces
--> data/lang/phones.txt is OK

Checking words.txt: #0 ...
--> text seems to be UTF-8 or ASCII, checking whitespaces
--> text contains only allowed whitespaces
--> data/lang/words.txt is OK

Checking disjoint: silence.txt, nonsilence.txt, disambig.txt ...
--> silence.txt and nonsilence.txt are disjoint
--> silence.txt and disambig.txt are disjoint
--> disambig.txt and nonsilence.txt are disjoint
--> disjoint property is OK

Checking sumation: silence.txt, nonsilence.txt, disambig.txt ...
--> found no unexplainable phones in phones.txt

Checking data/lang/phones/context_indep.{txt, int, csl} ...
--> text seems to be UTF-8 or ASCII, checking whitespaces
--> text contains only allowed whitespaces
--> 10 entry/entries in data/lang/phones/context_indep.txt
--> data/lang/phones/context_indep.int corresponds to data/lang/phones/context_indep.txt
--> data/lang/phones/context_indep.csl corresponds to data/lang/phones/context_indep.txt
--> data/lang/phones/context_indep.{txt, int, csl} are OK

Checking data/lang/phones/nonsilence.{txt, int, csl} ...
--> text seems to be UTF-8 or ASCII, checking whitespaces
--> text contains only allowed whitespaces
--> 112 entry/entries in data/lang/phones/nonsilence.txt
--> data/lang/phones/nonsilence.int corresponds to data/lang/phones/nonsilence.txt
--> data/lang/phones/nonsilence.csl corresponds to data/lang/phones/nonsilence.txt
--> data/lang/phones/nonsilence.{txt, int, csl} are OK

Checking data/lang/phones/silence.{txt, int, csl} ...
--> text seems to be UTF-8 or ASCII, checking whitespaces
--> text contains only allowed whitespaces
--> 10 entry/entries in data/lang/phones/silence.txt
--> data/lang/phones/silence.int corresponds to data/lang/phones/silence.txt
--> data/lang/phones/silence.csl corresponds to data/lang/phones/silence.txt
--> data/lang/phones/silence.{txt, int, csl} are OK

Checking data/lang/phones/optional_silence.{txt, int, csl} ...
--> text seems to be UTF-8 or ASCII, checking whitespaces
--> text contains only allowed whitespaces
--> 1 entry/entries in data/lang/phones/optional_silence.txt
--> data/lang/phones/optional_silence.int corresponds to data/lang/phones/optional_silence.txt
--> data/lang/phones/optional_silence.csl corresponds to data/lang/phones/optional_silence.txt
--> data/lang/phones/optional_silence.{txt, int, csl} are OK

Checking data/lang/phones/disambig.{txt, int, csl} ...
--> text seems to be UTF-8 or ASCII, checking whitespaces
--> text contains only allowed whitespaces
--> 2 entry/entries in data/lang/phones/disambig.txt
--> data/lang/phones/disambig.int corresponds to data/lang/phones/disambig.txt
--> data/lang/phones/disambig.csl corresponds to data/lang/phones/disambig.txt
--> data/lang/phones/disambig.{txt, int, csl} are OK

Checking data/lang/phones/roots.{txt, int} ...
--> text seems to be UTF-8 or ASCII, checking whitespaces
--> text contains only allowed whitespaces
--> 30 entry/entries in data/lang/phones/roots.txt
--> data/lang/phones/roots.int corresponds to data/lang/phones/roots.txt
--> data/lang/phones/roots.{txt, int} are OK

Checking data/lang/phones/sets.{txt, int} ...
--> text seems to be UTF-8 or ASCII, checking whitespaces
--> text contains only allowed whitespaces
--> 30 entry/entries in data/lang/phones/sets.txt
--> data/lang/phones/sets.int corresponds to data/lang/phones/sets.txt
--> data/lang/phones/sets.{txt, int} are OK

Checking data/lang/phones/extra_questions.{txt, int} ...
--> text seems to be UTF-8 or ASCII, checking whitespaces
--> text contains only allowed whitespaces
--> 9 entry/entries in data/lang/phones/extra_questions.txt
--> data/lang/phones/extra_questions.int corresponds to data/lang/phones/extra_questions.txt
--> data/lang/phones/extra_questions.{txt, int} are OK

Checking data/lang/phones/word_boundary.{txt, int} ...
--> text seems to be UTF-8 or ASCII, checking whitespaces
--> text contains only allowed whitespaces
--> 122 entry/entries in data/lang/phones/word_boundary.txt
--> data/lang/phones/word_boundary.int corresponds to data/lang/phones/word_boundary.txt
--> data/lang/phones/word_boundary.{txt, int} are OK

Checking optional_silence.txt ...
--> reading data/lang/phones/optional_silence.txt
--> data/lang/phones/optional_silence.txt is OK

Checking disambiguation symbols: #0 and #1
--> data/lang/phones/disambig.txt has "#0" and "#1"
--> data/lang/phones/disambig.txt is OK

Checking topo ...

Checking word_boundary.txt: silence.txt, nonsilence.txt, disambig.txt ...
--> data/lang/phones/word_boundary.txt doesn't include disambiguation symbols
--> data/lang/phones/word_boundary.txt is the union of nonsilence.txt and silence.txt
--> data/lang/phones/word_boundary.txt is OK

Checking word-level disambiguation symbols...
--> data/lang/phones/wdisambig.txt exists (newer prepare_lang.sh)
Checking word_boundary.int and disambig.int
--> generating a 70 word sequence
--> resulting phone sequence from L.fst corresponds to the word sequence
--> L.fst is OK
--> generating a 51 word sequence
--> resulting phone sequence from L_disambig.fst corresponds to the word sequence
--> L_disambig.fst is OK

Checking data/lang/oov.{txt, int} ...
--> text seems to be UTF-8 or ASCII, checking whitespaces
--> text contains only allowed whitespaces
--> 1 entry/entries in data/lang/oov.txt
--> data/lang/oov.int corresponds to data/lang/oov.txt
--> data/lang/oov.{txt, int} are OK

--> data/lang/L.fst is olabel sorted
--> data/lang/L_disambig.fst is olabel sorted
--> SUCCESS [validating lang directory data/lang]

===== LANGUAGE MODEL CREATION =====
===== MAKING lm.arpa =====


===== MAKING G.fst =====

arpa2fst --disambig-symbol=#0 --read-symbol-table=data/lang/words.txt data/local/tmp/lm.arpa data/lang/G.fst 
LOG (arpa2fst[5.5.70~1-e5446]:Read():arpa-file-parser.cc:94) Reading \data\ section.
LOG (arpa2fst[5.5.70~1-e5446]:Read():arpa-file-parser.cc:149) Reading \1-grams: section.
LOG (arpa2fst[5.5.70~1-e5446]:RemoveRedundantStates():arpa-lm-compiler.cc:359) Reduced num-states from 1 to 1

===== MONO TRAINING =====

steps/train_mono.sh --nj 10 --cmd run.pl 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
6 warnings in exp/mono/log/init.log
560 warnings in exp/mono/log/update.*.log
9049 warnings in exp/mono/log/acc.*.*.log
41498 warnings in exp/mono/log/align.*.*.log
exp/mono: nj=10 align prob=-96.34 over 15.38h [retry=11.4%, fail=1.7%] states=94 gauss=997
steps/train_mono.sh: Done training monophone system in exp/mono

===== MONO DECODING =====

WARNING: the --mono, --left-biphone and --quinphone options are now deprecated and ignored.
tree-info exp/mono/tree 
tree-info exp/mono/tree 
fstpushspecial 
fstdeterminizestar --use-log=true 
fstminimizeencoded 
fsttablecompose data/lang/L_disambig.fst data/lang/G.fst 
fstisstochastic data/lang/tmp/LG.fst 
5.03616e-05 -1.13647e-06
fstcomposecontext --context-size=1 --central-position=0 --read-disambig-syms=data/lang/phones/disambig.int --write-disambig-syms=data/lang/tmp/disambig_ilabels_1_0.int data/lang/tmp/ilabels_1_0.21728 data/lang/tmp/LG.fst 
fstisstochastic data/lang/tmp/CLG_1_0.fst 
5.03616e-05 -1.13647e-06
make-h-transducer --disambig-syms-out=exp/mono/graph/disambig_tid.int --transition-scale=1.0 data/lang/tmp/ilabels_1_0 exp/mono/tree exp/mono/final.mdl 
fsttablecompose exp/mono/graph/Ha.fst data/lang/tmp/CLG_1_0.fst 
fstdeterminizestar --use-log=true 
fstminimizeencoded 
fstrmsymbols exp/mono/graph/disambig_tid.int 
fstrmepslocal 
0.000513976 -0.000445992
fstisstochastic exp/mono/graph/HCLGa.fst 
add-self-loops --self-loop-scale=0.1 --reorder=true exp/mono/final.mdl exp/mono/graph/HCLGa.fst 

===== MONO ALIGNMENT =====

steps/align_si.sh --nj 10 --cmd run.pl data/train data/lang exp/mono exp/mono_ali
steps/align_si.sh: feature type is delta
steps/align_si.sh: aligning data in data/train using model from exp/mono, putting alignments in exp/mono_ali
steps/diagnostic/analyze_alignments.sh --cmd run.pl data/lang exp/mono_ali
steps/diagnostic/analyze_alignments.sh: see stats in exp/mono_ali/log/analyze_alignments.log
steps/align_si.sh: done aligning data.

===== TRI1 (first triphone pass) TRAINING =====

steps/train_deltas.sh --cmd run.pl 2500 20000 data/train data/lang exp/mono_ali exp/tri1
steps/train_deltas.sh: accumulating tree stats
steps/train_deltas.sh: getting questions for tree-building, via clustering
steps/train_deltas.sh: building the tree
WARNING (gmm-init-model[5.5.70~1-e5446]:InitAmGmm():gmm-init-model.cc:55) Tree has pdf-id 1 with no stats; corresponding phone list: 6 7 8 9 10 
WARNING (gmm-init-model[5.5.70~1-e5446]:InitAmGmm():gmm-init-model.cc:55) Tree has pdf-id 2 with no stats; corresponding phone list: 11 12 13 14 
WARNING (gmm-init-model[5.5.70~1-e5446]:InitAmGmm():gmm-init-model.cc:55) Tree has pdf-id 3 with no stats; corresponding phone list: 15 16 17 18 
** The warnings above about 'no stats' generally mean you have phones **
** (or groups of phones) in your phone set that had no corresponding data. **
** You should probably figure out whether something went wrong, **
** or whether your data just doesn't happen to have examples of those **
** phones. **
steps/train_deltas.sh: converting alignments from exp/mono_ali to use current tree
steps/train_deltas.sh: compiling graphs of transcripts
steps/train_deltas.sh: training pass 1
steps/train_deltas.sh: training pass 2
steps/train_deltas.sh: training pass 3
steps/train_deltas.sh: training pass 4
steps/train_deltas.sh: training pass 5
steps/train_deltas.sh: training pass 6
steps/train_deltas.sh: training pass 7
steps/train_deltas.sh: training pass 8
steps/train_deltas.sh: training pass 9
steps/train_deltas.sh: training pass 10
steps/train_deltas.sh: aligning data
steps/train_deltas.sh: training pass 11
steps/train_deltas.sh: training pass 12
steps/train_deltas.sh: training pass 13
steps/train_deltas.sh: training pass 14
steps/train_deltas.sh: training pass 15
steps/train_deltas.sh: training pass 16
steps/train_deltas.sh: training pass 17
steps/train_deltas.sh: training pass 18
steps/train_deltas.sh: training pass 19
steps/train_deltas.sh: training pass 20
steps/train_deltas.sh: aligning data
steps/train_deltas.sh: training pass 21
steps/train_deltas.sh: training pass 22
steps/train_deltas.sh: training pass 23
steps/train_deltas.sh: training pass 24
steps/train_deltas.sh: training pass 25
steps/train_deltas.sh: training pass 26
steps/train_deltas.sh: training pass 27
steps/train_deltas.sh: training pass 28
steps/train_deltas.sh: training pass 29
steps/train_deltas.sh: training pass 30
steps/train_deltas.sh: aligning data
steps/train_deltas.sh: training pass 31
steps/train_deltas.sh: training pass 32
steps/train_deltas.sh: training pass 33
steps/train_deltas.sh: training pass 34
steps/diagnostic/analyze_alignments.sh --cmd run.pl data/lang exp/tri1
steps/diagnostic/analyze_alignments.sh: see stats in exp/tri1/log/analyze_alignments.log
3 warnings in exp/tri1/log/questions.log
4 warnings in exp/tri1/log/init_model.log
138 warnings in exp/tri1/log/update.*.log
4753 warnings in exp/tri1/log/align.*.*.log
1 warnings in exp/tri1/log/build_tree.log
11876 warnings in exp/tri1/log/acc.*.*.log
exp/tri1: nj=10 align prob=-92.82 over 15.16h [retry=9.0%, fail=3.3%] states=1904 gauss=20061 tree-impr=4.76
steps/train_deltas.sh: Done training system with delta+delta-delta features in exp/tri1

===== TRI1 (first triphone pass) DECODING =====

tree-info exp/tri1/tree 
tree-info exp/tri1/tree 
fstcomposecontext --context-size=3 --central-position=1 --read-disambig-syms=data/lang/phones/disambig.int --write-disambig-syms=data/lang/tmp/disambig_ilabels_3_1.int data/lang/tmp/ilabels_3_1.30361 data/lang/tmp/LG.fst 
fstisstochastic data/lang/tmp/CLG_3_1.fst 
5.03616e-05 -1.13647e-06
make-h-transducer --disambig-syms-out=exp/tri1/graph/disambig_tid.int --transition-scale=1.0 data/lang/tmp/ilabels_3_1 exp/tri1/tree exp/tri1/final.mdl 
fstrmepslocal 
fstminimizeencoded 
fstdeterminizestar --use-log=true 
fstrmsymbols exp/tri1/graph/disambig_tid.int 
fsttablecompose exp/tri1/graph/Ha.fst data/lang/tmp/CLG_3_1.fst 
fstisstochastic exp/tri1/graph/HCLGa.fst 
0.000513874 -0.000486971
add-self-loops --self-loop-scale=0.1 --reorder=true exp/tri1/final.mdl exp/tri1/graph/HCLGa.fst 

===== TRI1 ALIGNMENT =====

steps/align_si.sh --nj 10 --cmd run.pl data/train data/lang exp/tri1 exp/tri1_ali
steps/align_si.sh: feature type is delta
steps/align_si.sh: aligning data in data/train using model from exp/tri1, putting alignments in exp/tri1_ali
steps/diagnostic/analyze_alignments.sh --cmd run.pl data/lang exp/tri1_ali
steps/diagnostic/analyze_alignments.sh: see stats in exp/tri1_ali/log/analyze_alignments.log
steps/align_si.sh: done aligning data.

===== TRI2A TRAINING =====

steps/train_deltas.sh --cmd run.pl 2500 20000 data/train data/lang exp/tri1_ali exp/tri2a
steps/train_deltas.sh: accumulating tree stats
steps/train_deltas.sh: getting questions for tree-building, via clustering
steps/train_deltas.sh: building the tree
WARNING (gmm-init-model[5.5.70~1-e5446]:InitAmGmm():gmm-init-model.cc:55) Tree has pdf-id 1 with no stats; corresponding phone list: 6 7 8 9 10 
WARNING (gmm-init-model[5.5.70~1-e5446]:InitAmGmm():gmm-init-model.cc:55) Tree has pdf-id 2 with no stats; corresponding phone list: 11 12 13 14 
WARNING (gmm-init-model[5.5.70~1-e5446]:InitAmGmm():gmm-init-model.cc:55) Tree has pdf-id 3 with no stats; corresponding phone list: 15 16 17 18 
** The warnings above about 'no stats' generally mean you have phones **
** (or groups of phones) in your phone set that had no corresponding data. **
** You should probably figure out whether something went wrong, **
** or whether your data just doesn't happen to have examples of those **
** phones. **
steps/train_deltas.sh: converting alignments from exp/tri1_ali to use current tree
steps/train_deltas.sh: compiling graphs of transcripts
steps/train_deltas.sh: training pass 1
steps/train_deltas.sh: training pass 2
steps/train_deltas.sh: training pass 3
steps/train_deltas.sh: training pass 4
steps/train_deltas.sh: training pass 5
steps/train_deltas.sh: training pass 6
steps/train_deltas.sh: training pass 7
steps/train_deltas.sh: training pass 8
steps/train_deltas.sh: training pass 9
steps/train_deltas.sh: training pass 10
steps/train_deltas.sh: aligning data
steps/train_deltas.sh: training pass 11
steps/train_deltas.sh: training pass 12
steps/train_deltas.sh: training pass 13
steps/train_deltas.sh: training pass 14
steps/train_deltas.sh: training pass 15
steps/train_deltas.sh: training pass 16
steps/train_deltas.sh: training pass 17
steps/train_deltas.sh: training pass 18
steps/train_deltas.sh: training pass 19
steps/train_deltas.sh: training pass 20
steps/train_deltas.sh: aligning data
steps/train_deltas.sh: training pass 21
steps/train_deltas.sh: training pass 22
steps/train_deltas.sh: training pass 23
steps/train_deltas.sh: training pass 24
steps/train_deltas.sh: training pass 25
steps/train_deltas.sh: training pass 26
steps/train_deltas.sh: training pass 27
steps/train_deltas.sh: training pass 28
steps/train_deltas.sh: training pass 29
steps/train_deltas.sh: training pass 30
steps/train_deltas.sh: aligning data
steps/train_deltas.sh: training pass 31
steps/train_deltas.sh: training pass 32
steps/train_deltas.sh: training pass 33
steps/train_deltas.sh: training pass 34
steps/diagnostic/analyze_alignments.sh --cmd run.pl data/lang exp/tri2a
steps/diagnostic/analyze_alignments.sh: see stats in exp/tri2a/log/analyze_alignments.log
15316 warnings in exp/tri2a/log/acc.*.*.log
4 warnings in exp/tri2a/log/init_model.log
5149 warnings in exp/tri2a/log/align.*.*.log
3 warnings in exp/tri2a/log/questions.log
1 warnings in exp/tri2a/log/build_tree.log
136 warnings in exp/tri2a/log/update.*.log
exp/tri2a: nj=10 align prob=-92.67 over 15.10h [retry=9.4%, fail=3.6%] states=1904 gauss=20042 tree-impr=5.45
steps/train_deltas.sh: Done training system with delta+delta-delta features in exp/tri2a

===== TRI2A DECODING =====

tree-info exp/tri2a/tree 
tree-info exp/tri2a/tree 
make-h-transducer --disambig-syms-out=exp/tri2a/graph/disambig_tid.int --transition-scale=1.0 data/lang/tmp/ilabels_3_1 exp/tri2a/tree exp/tri2a/final.mdl 
fstrmepslocal 
fsttablecompose exp/tri2a/graph/Ha.fst data/lang/tmp/CLG_3_1.fst 
fstminimizeencoded 
fstdeterminizestar --use-log=true 
fstrmsymbols exp/tri2a/graph/disambig_tid.int 
fstisstochastic exp/tri2a/graph/HCLGa.fst 
0.000517835 -0.000487354
add-self-loops --self-loop-scale=0.1 --reorder=true exp/tri2a/final.mdl exp/tri2a/graph/HCLGa.fst 
steps/decode.sh --config conf/decode.config --nj 10 --cmd run.pl exp/tri2a/graph data/test exp/tri2a/decode
Refusing to split data because number of speakers 1 is less than the number of output .scp files 10 at utils/split_scp.pl line 114, <I> line 795.

===== TRI2A ALIGNMENT =====

steps/align_si.sh --nj 10 --cmd run.pl data/train data/lang exp/tri2a exp/tri2a_ali
steps/align_si.sh: feature type is delta
steps/align_si.sh: aligning data in data/train using model from exp/tri2a, putting alignments in exp/tri2a_ali
steps/diagnostic/analyze_alignments.sh --cmd run.pl data/lang exp/tri2a_ali
steps/diagnostic/analyze_alignments.sh: see stats in exp/tri2a_ali/log/analyze_alignments.log
steps/align_si.sh: done aligning data.

===== run.sh script is finished =====

grep: exp/tri2a/decode/wer_*: No such file or directory

===== Time Report =====
Mono
9:8
0:1
0:23
Tri1
2:35
0:0
0:24
Tri2a
2:31
0:1
0:23
Total time:
15:59


===== Score Report =====
Best WER



Process finished with exit code 0