Hello,,,,,,,,the file of " my_db.dic my_db.cd_cont_1000 my_db.lm.DMP" have be
build !
but when recognition, there was nothing output!!
the command is ./pocketsphinx_continuous -hmm my_db.cd_cont_1000 -lm
my_db.lm.DMP -dict my_db.dic
thank you !
-cfg not specified, using the default ./etc/sphinx_train.cfg
-param not specified, using the default ./etc/feat.params
bin/wave2feat \
-verbose yes \
-alpha 0.97 \
-dither yes \
-doublebw no \
-nfilt 40 \
-ncep 13 \
-lowerf 133.33334 \
-upperf 6855.4976 \
-nfft 512 \
-wlen 0.0256 \
-c etc/my_db_test.fileids \
-mswav yes \
-di /root/Desktop/jolyxie/wav \
-ei wav \
-do /root/Desktop/jolyxie/feat \
-eo mfc
-help no no
-example no no
-i
-o
-c etc/my_db_test.fileids
-nskip
-runlen
-di /root/Desktop/jolyxie/wav
-ei wav
-do /root/Desktop/jolyxie/feat
-eo mfc
-nist no no
-raw no no
-mswav no yes
-input_endian little little
-nchans 1 1
-whichchan 1 1
-logspec no no
-feat sphinx sphinx
-mach_endian little little
-alpha 0.97 9.700000e-01
-srate 16000.0 1.600000e+04
-frate 100 100
-wlen 0.025625 2.560000e-02
-nfft 512 512
-nfilt 40 40
-lowerf 133.33334 1.333333e+02
-upperf 6855.4976 6.855498e+03
-ncep 13 13
-doublebw no no
-warp_type inverse_linear inverse_linear
-warp_params
-blocksize 200000 200000
-dither yes yes
-seed -1 -1
-verbose no yes
INFO: fe_interface.c(100): You are using the internal mechanism to generate
the seed.
INFO: fe_sigproc.c(752): Current FE Parameters:
INFO: fe_sigproc.c(753): Sampling Rate: 16000.000000
INFO: fe_sigproc.c(754): Frame Size: 410
INFO: fe_sigproc.c(755): Frame Shift: 160
INFO: fe_sigproc.c(756): FFT Size: 512
INFO: fe_sigproc.c(757): Lower Frequency: 133.333
INFO: fe_sigproc.c(758): Upper Frequency: 6855.5
INFO: fe_sigproc.c(759): Number of filters: 40
INFO: fe_sigproc.c(760): Number of Overflow Samps: 0
INFO: fe_sigproc.c(761): Start Utt Status: 0
INFO: fe_sigproc.c(763): Will add dither to audio
INFO: fe_sigproc.c(764): Dither seeded with -1
INFO: fe_sigproc.c(771): Will not use double bandwidth in mel filter
INFO: wave2feat.c(139): /root/Desktop/jolyxie/wav/speaker_1/1_11.wav
LENGTH: 4
INFO: wave2feat.c(786): Reading MS Wav file
/root/Desktop/jolyxie/wav/speaker_1/1_11.wav:
INFO: wave2feat.c(787): 16 bit PCM data, 1 channels 124032 samples
INFO: wave2feat.c(788): Sampled at 16000
INFO: wave2feat.c(139): /root/Desktop/jolyxie/wav/speaker_2/2_11.wav
LENGTH: 4
INFO: wave2feat.c(786): Reading MS Wav file
/root/Desktop/jolyxie/wav/speaker_2/2_11.wav:
INFO: wave2feat.c(787): 16 bit PCM data, 1 channels 121728 samples
INFO: wave2feat.c(788): Sampled at 16000
INFO: wave2feat.c(139): /root/Desktop/jolyxie/wav/speaker_3/3_11.wav
LENGTH: 4
INFO: wave2feat.c(786): Reading MS Wav file
/root/Desktop/jolyxie/wav/speaker_3/3_11.wav:
INFO: wave2feat.c(787): 16 bit PCM data, 1 channels 123264 samples
INFO: wave2feat.c(788): Sampled at 16000
INFO: wave2feat.c(139): /root/Desktop/jolyxie/wav/speaker_4/4_11.wav
LENGTH: 4
INFO: wave2feat.c(786): Reading MS Wav file
/root/Desktop/jolyxie/wav/speaker_4/4_11.wav:
INFO: wave2feat.c(787): 16 bit PCM data, 1 channels 109824 samples
INFO: wave2feat.c(788): Sampled at 16000
INFO: wave2feat.c(139): /root/Desktop/jolyxie/wav/speaker_5/5_11.wav
LENGTH: 4
INFO: wave2feat.c(786): Reading MS Wav file
/root/Desktop/jolyxie/wav/speaker_5/5_11.wav:
INFO: wave2feat.c(787): 16 bit PCM data, 1 channels 123648 samples
INFO: wave2feat.c(788): Sampled at 16000
./scripts_pl/RunAll.pl
MODULE: 00 verify training files
O.S. is case sensitive ("A" != "a").
Phones will be treated as case sensitive.
Phase 1: DICT - Checking to see if the dict and filler dict agrees with the
phonelist file.
Found 8 words using 16 phones
Phase 2: DICT - Checking to make sure there are not duplicate entries in the
dictionary
Phase 3: CTL - Check general format; utterance length (must be positive);
files exist
Phase 4: CTL - Checking number of lines in the transcript should match lines
in control file
Phase 5: CTL - Determine amount of training data, see if n_tied_states seems
reasonable.
Total Hours Training: 0.0104455128205128
This is a small amount of data, no comment at this time
Phase 6: TRANSCRIPT - Checking that all the words in the transcript are in the
dictionary
Words in dictionary: 5
Words in filler dictionary: 3
Phase 7: TRANSCRIPT - Checking that all the phones in the transcript are in
the phonelist, and all phones in the phonelist appear at least once
MODULE: 01 Vector Quantization
Skipped for continuous models
MODULE: 02 Training Context Independent models for forced alignment and VTLN
Skipped: $ST::CFG_FORCEDALIGN set to 'no' in sphinx_train.cfg
Skipped: $ST::CFG_VTLN set to 'no' in sphinx_train.cfg
MODULE: 03 Force-aligning transcripts
Skipped: $ST::CFG_FORCEDALIGN set to 'no' in sphinx_train.cfg
MODULE: 04 Force-aligning data for VTLN
Skipped: $ST::CFG_VTLN set to 'no' in sphinx_train.cfg
MODULE: 05 Train LDA transformation
Skipped (set $CFG_LDA_MLLT = 'yes' to enable)
MODULE: 06 Train MLLT transformation
Skipped (set $CFG_LDA_MLLT = 'yes' to enable)
MODULE: 20 Training Context Independent models
Phase 1: Cleaning up directories:
accumulator...logs...qmanager...models...
Phase 2: Flat initialize
Phase 3: Forward-Backward
Baum welch starting for 1 Gaussian(s), iteration: 1 (1 of 1)
0%
Normalization for iteration: 1
Current Overall Likelihood Per Frame = 7.97788563829787
Baum welch starting for 1 Gaussian(s), iteration: 2 (1 of 1)
0%
Normalization for iteration: 2
Current Overall Likelihood Per Frame = 14.0293882978723
Convergence Ratio = 0.758534646137845
Baum welch starting for 1 Gaussian(s), iteration: 3 (1 of 1)
0%
Normalization for iteration: 3
WARNING: WARNING: NEGATIVE CONVERGENCE RATIO AT ITER 3! CHECK BW AND NORM
LOGFILES
Current Overall Likelihood Per Frame = 12.0796675531915
Training completed after 3 iterations
MODULE: 30 Training Context Dependent models
Phase 1: Cleaning up directories:
accumulator...logs...qmanager...
Phase 2: Initialization
WARNING: This step had 0 ERROR messages and 1 WARNING messages. Please check
the log file for details.
Phase 3: Forward-Backward
Baum welch starting for iteration: 1 (1 of 1)
0%
Normalization for iteration: 1
Current Overall Likelihood Per Frame = 16.7864867021277
Baum welch starting for iteration: 2 (1 of 1)
0%
Normalization for iteration: 2
Current Overall Likelihood Per Frame = 17.3758563829787
Training completed after 2 iterations
MODULE: 40 Build Trees
Phase 1: Cleaning up old log files...
Phase 2: Make Questions
Phase 3: Tree building
Processing each phone with each state
H 0
H 1
H 2
IAN 0
IAN 1
IAN 2
IB 0
IB 1
IB 2
IN 0
IN 1
IN 2
ING 0
ING 1
ING 2
J 0
J 1
J 2
OU 0
OU 1
OU 2
Q 0
Q 1
Q 2
Skipping SIL
T 0
T 1
T 2
UAN 0
UAN 1
UAN 2
UI 0
UI 1
UI 2
UO 0
UO 1
UO 2
Y 0
Y 1
Y 2
Z 0
Z 1
Z 2
ZH 0
ZH 1
ZH 2
MODULE: 45 Prune Trees
Phase 1: Tree Pruning
WARNING: This step had 0 ERROR messages and 1 WARNING messages. Please check
the log file for details.
Phase 2: State Tying
MODULE: 50 Training Context dependent models
Phase 1: Cleaning up directories:
accumulator...logs...qmanager...
Phase 2: Copy CI to CD initialize
Phase 3: Forward-Backward
Baum welch starting for 1 Gaussian(s), iteration: 1 (1 of 1)
0%
WARNING: This step had 0 ERROR messages and 1 WARNING messages. Please check
the log file for details.
Normalization for iteration: 1
This step had 432 ERROR messages and 0 WARNING messages. Please check the log
file for details.
Current Overall Likelihood Per Frame = 16.7864867021277
Baum welch starting for 1 Gaussian(s), iteration: 2 (1 of 1)
0%
Normalization for iteration: 2
Current Overall Likelihood Per Frame = 17.6104521276596
Convergence Ratio = 0.0490850432346535
Baum welch starting for 1 Gaussian(s), iteration: 3 (1 of 1)
0%
Normalization for iteration: 3
Current Overall Likelihood Per Frame = 17.6473510638298
Split Gaussians, increase by 1
Current Overall Likelihood Per Frame = 17.6473510638298
Convergence Ratio = 0.00209528613477396
Baum welch starting for 2 Gaussian(s), iteration: 1 (1 of 1)
0%
WARNING: This step had 0 ERROR messages and 1 WARNING messages. Please check
the log file for details.
Normalization for iteration: 1
This step had 1066 ERROR messages and 0 WARNING messages. Please check the log
file for details.
Current Overall Likelihood Per Frame = 17.2934574468085
Baum welch starting for 2 Gaussian(s), iteration: 2 (1 of 1)
0%
Normalization for iteration: 2
Current Overall Likelihood Per Frame = 18.2317207446809
Convergence Ratio = 0.0542553911361149
Baum welch starting for 2 Gaussian(s), iteration: 3 (1 of 1)
0%
Normalization for iteration: 3
Current Overall Likelihood Per Frame = 19.3502180851064
Convergence Ratio = 0.0613489728199027
Baum welch starting for 2 Gaussian(s), iteration: 4 (1 of 1)
0%
Normalization for iteration: 4
Current Overall Likelihood Per Frame = 20.2473085106383
Convergence Ratio = 0.0463607397904408
Baum welch starting for 2 Gaussian(s), iteration: 5 (1 of 1)
0%
Normalization for iteration: 5
Current Overall Likelihood Per Frame = 20.5837845744681
Split Gaussians, increase by 2
Current Overall Likelihood Per Frame = 20.5837845744681
Convergence Ratio = 0.0166183107079635
Baum welch starting for 4 Gaussian(s), iteration: 1 (1 of 1)
0%
WARNING: This step had 0 ERROR messages and 1 WARNING messages. Please check
the log file for details.
Normalization for iteration: 1
This step had 3368 ERROR messages and 0 WARNING messages. Please check the log
file for details.
Current Overall Likelihood Per Frame = 20.4912021276596
Baum welch starting for 4 Gaussian(s), iteration: 2 (1 of 1)
0%
Normalization for iteration: 2
Current Overall Likelihood Per Frame = 21.649039893617
Convergence Ratio = 0.0565041405938082
Baum welch starting for 4 Gaussian(s), iteration: 3 (1 of 1)
0%
Normalization for iteration: 3
Current Overall Likelihood Per Frame = 22.7894840425532
Convergence Ratio = 0.0526787402369951
Baum welch starting for 4 Gaussian(s), iteration: 4 (1 of 1)
0%
Normalization for iteration: 4
Current Overall Likelihood Per Frame = 23.7294175531915
Convergence Ratio = 0.0412441768704906
Baum welch starting for 4 Gaussian(s), iteration: 5 (1 of 1)
0%
Normalization for iteration: 5
Current Overall Likelihood Per Frame = 24.0010930851064
Split Gaussians, increase by 4
Current Overall Likelihood Per Frame = 24.0010930851064
Convergence Ratio = 0.0114488917102959
Baum welch starting for 8 Gaussian(s), iteration: 1 (1 of 1)
0%
Normalization for iteration: 1
This step had 8819 ERROR messages and 0 WARNING messages. Please check the log
file for details.
Current Overall Likelihood Per Frame = 23.7469760638298
Baum welch starting for 8 Gaussian(s), iteration: 2 (1 of 1)
0%
Normalization for iteration: 2
Current Overall Likelihood Per Frame = 24.9086170212766
Convergence Ratio = 0.0489174265525179
Baum welch starting for 8 Gaussian(s), iteration: 3 (1 of 1)
0%
Normalization for iteration: 3
Current Overall Likelihood Per Frame = 26.1759920212766
Convergence Ratio = 0.0508809862433318
Baum welch starting for 8 Gaussian(s), iteration: 4 (1 of 1)
0%
Normalization for iteration: 4
Current Overall Likelihood Per Frame = 27.244335106383
Convergence Ratio = 0.0408138527944995
Baum welch starting for 8 Gaussian(s), iteration: 5 (1 of 1)
0%
Normalization for iteration: 5
Current Overall Likelihood Per Frame = 27.4499468085106
Split Gaussians, increase by 0
Training for 8 Gaussian(s) completed after 5 iterations
MODULE: 90 deleted interpolation
Skipped for continuous models
MODULE: 99 Convert to Sphinx2 format models
Can not create models used by Sphinx-II.
If you intend to create models to use with Sphinx-II models, please rerun
with:
$ST::CFG_HMM_TYPE = '.semi.' or
$ST::CFG_HMM_TYPE = '.cont' and $ST::CFG_FEATURE = '1s_12c_12d_3p_12dd' and
$ST::CFG_STATESPERHMM = '5'
If you would like to refer to this comment somewhere else in this project, copy and paste the following link:
Hello,,,,,,,,the file of " my_db.dic my_db.cd_cont_1000 my_db.lm.DMP" have be
build !
but when recognition, there was nothing output!!
the command is ./pocketsphinx_continuous -hmm my_db.cd_cont_1000 -lm
my_db.lm.DMP -dict my_db.dic
thank you !
./scripts_pl/make_feats.pl -ctl etc/my_db_test.fileids
-cfg not specified, using the default ./etc/sphinx_train.cfg
-param not specified, using the default ./etc/feat.params
bin/wave2feat \
-verbose yes \
-alpha 0.97 \
-dither yes \
-doublebw no \
-nfilt 40 \
-ncep 13 \
-lowerf 133.33334 \
-upperf 6855.4976 \
-nfft 512 \
-wlen 0.0256 \
-c etc/my_db_test.fileids \
-mswav yes \
-di /root/Desktop/jolyxie/wav \
-ei wav \
-do /root/Desktop/jolyxie/feat \
-eo mfc
-help no no
-example no no
-i
-o
-c etc/my_db_test.fileids
-nskip
-runlen
-di /root/Desktop/jolyxie/wav
-ei wav
-do /root/Desktop/jolyxie/feat
-eo mfc
-nist no no
-raw no no
-mswav no yes
-input_endian little little
-nchans 1 1
-whichchan 1 1
-logspec no no
-feat sphinx sphinx
-mach_endian little little
-alpha 0.97 9.700000e-01
-srate 16000.0 1.600000e+04
-frate 100 100
-wlen 0.025625 2.560000e-02
-nfft 512 512
-nfilt 40 40
-lowerf 133.33334 1.333333e+02
-upperf 6855.4976 6.855498e+03
-ncep 13 13
-doublebw no no
-warp_type inverse_linear inverse_linear
-warp_params
-blocksize 200000 200000
-dither yes yes
-seed -1 -1
-verbose no yes
INFO: fe_interface.c(100): You are using the internal mechanism to generate
the seed.
INFO: fe_sigproc.c(752): Current FE Parameters:
INFO: fe_sigproc.c(753): Sampling Rate: 16000.000000
INFO: fe_sigproc.c(754): Frame Size: 410
INFO: fe_sigproc.c(755): Frame Shift: 160
INFO: fe_sigproc.c(756): FFT Size: 512
INFO: fe_sigproc.c(757): Lower Frequency: 133.333
INFO: fe_sigproc.c(758): Upper Frequency: 6855.5
INFO: fe_sigproc.c(759): Number of filters: 40
INFO: fe_sigproc.c(760): Number of Overflow Samps: 0
INFO: fe_sigproc.c(761): Start Utt Status: 0
INFO: fe_sigproc.c(763): Will add dither to audio
INFO: fe_sigproc.c(764): Dither seeded with -1
INFO: fe_sigproc.c(771): Will not use double bandwidth in mel filter
INFO: wave2feat.c(139): /root/Desktop/jolyxie/wav/speaker_1/1_11.wav
LENGTH: 4
INFO: wave2feat.c(786): Reading MS Wav file
/root/Desktop/jolyxie/wav/speaker_1/1_11.wav:
INFO: wave2feat.c(787): 16 bit PCM data, 1 channels 124032 samples
INFO: wave2feat.c(788): Sampled at 16000
INFO: wave2feat.c(139): /root/Desktop/jolyxie/wav/speaker_2/2_11.wav
LENGTH: 4
INFO: wave2feat.c(786): Reading MS Wav file
/root/Desktop/jolyxie/wav/speaker_2/2_11.wav:
INFO: wave2feat.c(787): 16 bit PCM data, 1 channels 121728 samples
INFO: wave2feat.c(788): Sampled at 16000
INFO: wave2feat.c(139): /root/Desktop/jolyxie/wav/speaker_3/3_11.wav
LENGTH: 4
INFO: wave2feat.c(786): Reading MS Wav file
/root/Desktop/jolyxie/wav/speaker_3/3_11.wav:
INFO: wave2feat.c(787): 16 bit PCM data, 1 channels 123264 samples
INFO: wave2feat.c(788): Sampled at 16000
INFO: wave2feat.c(139): /root/Desktop/jolyxie/wav/speaker_4/4_11.wav
LENGTH: 4
INFO: wave2feat.c(786): Reading MS Wav file
/root/Desktop/jolyxie/wav/speaker_4/4_11.wav:
INFO: wave2feat.c(787): 16 bit PCM data, 1 channels 109824 samples
INFO: wave2feat.c(788): Sampled at 16000
INFO: wave2feat.c(139): /root/Desktop/jolyxie/wav/speaker_5/5_11.wav
LENGTH: 4
INFO: wave2feat.c(786): Reading MS Wav file
/root/Desktop/jolyxie/wav/speaker_5/5_11.wav:
INFO: wave2feat.c(787): 16 bit PCM data, 1 channels 123648 samples
INFO: wave2feat.c(788): Sampled at 16000
./scripts_pl/RunAll.pl
MODULE: 00 verify training files
O.S. is case sensitive ("A" != "a").
Phones will be treated as case sensitive.
Phase 1: DICT - Checking to see if the dict and filler dict agrees with the
phonelist file.
Found 8 words using 16 phones
Phase 2: DICT - Checking to make sure there are not duplicate entries in the
dictionary
Phase 3: CTL - Check general format; utterance length (must be positive);
files exist
Phase 4: CTL - Checking number of lines in the transcript should match lines
in control file
Phase 5: CTL - Determine amount of training data, see if n_tied_states seems
reasonable.
Total Hours Training: 0.0104455128205128
This is a small amount of data, no comment at this time
Phase 6: TRANSCRIPT - Checking that all the words in the transcript are in the
dictionary
Words in dictionary: 5
Words in filler dictionary: 3
Phase 7: TRANSCRIPT - Checking that all the phones in the transcript are in
the phonelist, and all phones in the phonelist appear at least once
MODULE: 01 Vector Quantization
Skipped for continuous models
MODULE: 02 Training Context Independent models for forced alignment and VTLN
Skipped: $ST::CFG_FORCEDALIGN set to 'no' in sphinx_train.cfg
Skipped: $ST::CFG_VTLN set to 'no' in sphinx_train.cfg
MODULE: 03 Force-aligning transcripts
Skipped: $ST::CFG_FORCEDALIGN set to 'no' in sphinx_train.cfg
MODULE: 04 Force-aligning data for VTLN
Skipped: $ST::CFG_VTLN set to 'no' in sphinx_train.cfg
MODULE: 05 Train LDA transformation
Skipped (set $CFG_LDA_MLLT = 'yes' to enable)
MODULE: 06 Train MLLT transformation
Skipped (set $CFG_LDA_MLLT = 'yes' to enable)
MODULE: 20 Training Context Independent models
Phase 1: Cleaning up directories:
accumulator...logs...qmanager...models...
Phase 2: Flat initialize
Phase 3: Forward-Backward
Baum welch starting for 1 Gaussian(s), iteration: 1 (1 of 1)
0%
Normalization for iteration: 1
Current Overall Likelihood Per Frame = 7.97788563829787
Baum welch starting for 1 Gaussian(s), iteration: 2 (1 of 1)
0%
Normalization for iteration: 2
Current Overall Likelihood Per Frame = 14.0293882978723
Convergence Ratio = 0.758534646137845
Baum welch starting for 1 Gaussian(s), iteration: 3 (1 of 1)
0%
Normalization for iteration: 3
WARNING: WARNING: NEGATIVE CONVERGENCE RATIO AT ITER 3! CHECK BW AND NORM
LOGFILES
Current Overall Likelihood Per Frame = 12.0796675531915
Training completed after 3 iterations
MODULE: 30 Training Context Dependent models
Phase 1: Cleaning up directories:
accumulator...logs...qmanager...
Phase 2: Initialization
WARNING: This step had 0 ERROR messages and 1 WARNING messages. Please check
the log file for details.
Phase 3: Forward-Backward
Baum welch starting for iteration: 1 (1 of 1)
0%
Normalization for iteration: 1
Current Overall Likelihood Per Frame = 16.7864867021277
Baum welch starting for iteration: 2 (1 of 1)
0%
Normalization for iteration: 2
Current Overall Likelihood Per Frame = 17.3758563829787
Training completed after 2 iterations
MODULE: 40 Build Trees
Phase 1: Cleaning up old log files...
Phase 2: Make Questions
Phase 3: Tree building
Processing each phone with each state
H 0
H 1
H 2
IAN 0
IAN 1
IAN 2
IB 0
IB 1
IB 2
IN 0
IN 1
IN 2
ING 0
ING 1
ING 2
J 0
J 1
J 2
OU 0
OU 1
OU 2
Q 0
Q 1
Q 2
Skipping SIL
T 0
T 1
T 2
UAN 0
UAN 1
UAN 2
UI 0
UI 1
UI 2
UO 0
UO 1
UO 2
Y 0
Y 1
Y 2
Z 0
Z 1
Z 2
ZH 0
ZH 1
ZH 2
MODULE: 45 Prune Trees
Phase 1: Tree Pruning
WARNING: This step had 0 ERROR messages and 1 WARNING messages. Please check
the log file for details.
Phase 2: State Tying
MODULE: 50 Training Context dependent models
Phase 1: Cleaning up directories:
accumulator...logs...qmanager...
Phase 2: Copy CI to CD initialize
Phase 3: Forward-Backward
Baum welch starting for 1 Gaussian(s), iteration: 1 (1 of 1)
0%
WARNING: This step had 0 ERROR messages and 1 WARNING messages. Please check
the log file for details.
Normalization for iteration: 1
This step had 432 ERROR messages and 0 WARNING messages. Please check the log
file for details.
Current Overall Likelihood Per Frame = 16.7864867021277
Baum welch starting for 1 Gaussian(s), iteration: 2 (1 of 1)
0%
Normalization for iteration: 2
Current Overall Likelihood Per Frame = 17.6104521276596
Convergence Ratio = 0.0490850432346535
Baum welch starting for 1 Gaussian(s), iteration: 3 (1 of 1)
0%
Normalization for iteration: 3
Current Overall Likelihood Per Frame = 17.6473510638298
Split Gaussians, increase by 1
Current Overall Likelihood Per Frame = 17.6473510638298
Convergence Ratio = 0.00209528613477396
Baum welch starting for 2 Gaussian(s), iteration: 1 (1 of 1)
0%
WARNING: This step had 0 ERROR messages and 1 WARNING messages. Please check
the log file for details.
Normalization for iteration: 1
This step had 1066 ERROR messages and 0 WARNING messages. Please check the log
file for details.
Current Overall Likelihood Per Frame = 17.2934574468085
Baum welch starting for 2 Gaussian(s), iteration: 2 (1 of 1)
0%
Normalization for iteration: 2
Current Overall Likelihood Per Frame = 18.2317207446809
Convergence Ratio = 0.0542553911361149
Baum welch starting for 2 Gaussian(s), iteration: 3 (1 of 1)
0%
Normalization for iteration: 3
Current Overall Likelihood Per Frame = 19.3502180851064
Convergence Ratio = 0.0613489728199027
Baum welch starting for 2 Gaussian(s), iteration: 4 (1 of 1)
0%
Normalization for iteration: 4
Current Overall Likelihood Per Frame = 20.2473085106383
Convergence Ratio = 0.0463607397904408
Baum welch starting for 2 Gaussian(s), iteration: 5 (1 of 1)
0%
Normalization for iteration: 5
Current Overall Likelihood Per Frame = 20.5837845744681
Split Gaussians, increase by 2
Current Overall Likelihood Per Frame = 20.5837845744681
Convergence Ratio = 0.0166183107079635
Baum welch starting for 4 Gaussian(s), iteration: 1 (1 of 1)
0%
WARNING: This step had 0 ERROR messages and 1 WARNING messages. Please check
the log file for details.
Normalization for iteration: 1
This step had 3368 ERROR messages and 0 WARNING messages. Please check the log
file for details.
Current Overall Likelihood Per Frame = 20.4912021276596
Baum welch starting for 4 Gaussian(s), iteration: 2 (1 of 1)
0%
Normalization for iteration: 2
Current Overall Likelihood Per Frame = 21.649039893617
Convergence Ratio = 0.0565041405938082
Baum welch starting for 4 Gaussian(s), iteration: 3 (1 of 1)
0%
Normalization for iteration: 3
Current Overall Likelihood Per Frame = 22.7894840425532
Convergence Ratio = 0.0526787402369951
Baum welch starting for 4 Gaussian(s), iteration: 4 (1 of 1)
0%
Normalization for iteration: 4
Current Overall Likelihood Per Frame = 23.7294175531915
Convergence Ratio = 0.0412441768704906
Baum welch starting for 4 Gaussian(s), iteration: 5 (1 of 1)
0%
Normalization for iteration: 5
Current Overall Likelihood Per Frame = 24.0010930851064
Split Gaussians, increase by 4
Current Overall Likelihood Per Frame = 24.0010930851064
Convergence Ratio = 0.0114488917102959
Baum welch starting for 8 Gaussian(s), iteration: 1 (1 of 1)
0%
Normalization for iteration: 1
This step had 8819 ERROR messages and 0 WARNING messages. Please check the log
file for details.
Current Overall Likelihood Per Frame = 23.7469760638298
Baum welch starting for 8 Gaussian(s), iteration: 2 (1 of 1)
0%
Normalization for iteration: 2
Current Overall Likelihood Per Frame = 24.9086170212766
Convergence Ratio = 0.0489174265525179
Baum welch starting for 8 Gaussian(s), iteration: 3 (1 of 1)
0%
Normalization for iteration: 3
Current Overall Likelihood Per Frame = 26.1759920212766
Convergence Ratio = 0.0508809862433318
Baum welch starting for 8 Gaussian(s), iteration: 4 (1 of 1)
0%
Normalization for iteration: 4
Current Overall Likelihood Per Frame = 27.244335106383
Convergence Ratio = 0.0408138527944995
Baum welch starting for 8 Gaussian(s), iteration: 5 (1 of 1)
0%
Normalization for iteration: 5
Current Overall Likelihood Per Frame = 27.4499468085106
Split Gaussians, increase by 0
Training for 8 Gaussian(s) completed after 5 iterations
MODULE: 90 deleted interpolation
Skipped for continuous models
MODULE: 99 Convert to Sphinx2 format models
Can not create models used by Sphinx-II.
If you intend to create models to use with Sphinx-II models, please rerun
with:
$ST::CFG_HMM_TYPE = '.semi.' or
$ST::CFG_HMM_TYPE = '.cont' and $ST::CFG_FEATURE = '1s_12c_12d_3p_12dd' and
$ST::CFG_STATESPERHMM = '5'