Now I am trying to port it to Python pocketsphinx 0.1.15 (https://pypi.org/project/pocketsphinx/) and I see, in verbose output, that config of Python pocketsphinx is not same to pocketsphinx_continuous config.
As result Python pocketsphinx makes a lot of wrong phantom detections.
My Python script is very simple:
speech = LiveSpeech(
verbose=True,
hmm='c:/Projects/pocketsphinx-5prealpha-win32/pocketsphinx/bin/Release/x64/zero_ru.cd_cont_4000',
lm=False,
jsgf='c:/Projects/pocketsphinx-5prealpha-win32/pocketsphinx/bin/Release/x64/calc.jsgf',
dic='c:/Projects/pocketsphinx-5prealpha-win32/pocketsphinx/bin/Release/x64/vocabular.dict',
allphone_ci=False,
vad_threshold=2.0,
kws_threshold=1.0,
)
for phrase in speech:
print(phrase)
By comparing text files with outputs I see, that pocketsphinx_continuous has in output
INFO: fe_interface.c(325): Using -1 as the seed.
INFO: feat.c(715): Initializing feature stream to type: '1s_c_d_dd', ceplen=13, CMN='current', VARNORM='no', AGC='none'
INFO: cmn.c(143): mean[0]= 12.00, mean[1..12]= 0.0
INFO: acmod.c(154): Reading linear feature transformation from zero_ru.cd_cont_4000/feature_transform
INFO: mdef.c(518): Reading model definition: zero_ru.cd_cont_4000/mdef
INFO: bin_mdef.c(181): Allocating 145321 * 8 bytes (1135 KiB) for CD tree
but Python pocketsphinx has
INFO: fe_interface.c(324): Using -1 as the seed.
INFO: feat.c(715): Initializing feature stream to type: '1s_c_d_dd', ceplen=13, CMN='batch', VARNORM='no', AGC='none'
INFO: acmod.c(152): Reading linear feature transformation from c:/Projects/pocketsphinx-5prealpha-win32/pocketsphinx/bin/Release/x64/zero_ru.cd_cont_4000/feature_transform
INFO: mdef.c(518): Reading model definition: c:/Projects/pocketsphinx-5prealpha-win32/pocketsphinx/bin/Release/x64/zero_ru.cd_cont_4000/mdef
Now I am trying to make Python pocketsphinx to work (or, to config) same as pocketsphinx_continuous.
How to make Python pocketsphinx use CMN='current' instead of CMN='batch'?
Ie, how to make Python pocketsphinx show in output
INFO: feat.c(715): Initializing feature stream to type: '1s_c_d_dd', ceplen=13, CMN='current', VARNORM='no', AGC='none'
INFO: cmn.c(143): mean[0]= 12.00, mean[1..12]= 0.0
INFO: acmod.c(154): Reading linear feature transformation from zero_ru.cd_cont_4000/feature_transform
INFO: mdef.c(518): Reading model definition: zero_ru.cd_cont_4000/mdef
instead of
INFO: feat.c(715): Initializing feature stream to type: '1s_c_d_dd', ceplen=13, CMN='batch', VARNORM='no', AGC='none'
INFO: acmod.c(152): Reading linear feature transformation from c:/Projects/pocketsphinx-5prealpha-win32/pocketsphinx/bin/Release/x64/zero_ru.cd_cont_4000/feature_transform
INFO: mdef.c(518): Reading model definition: c:/Projects/pocketsphinx-5prealpha-win32/pocketsphinx/bin/Release/x64/zero_ru.cd_cont_4000/mdef
I have solution (jsgf, dict, hmm), that works well with
Now I am trying to port it to Python pocketsphinx 0.1.15 (https://pypi.org/project/pocketsphinx/) and I see, in verbose output, that config of Python pocketsphinx is not same to pocketsphinx_continuous config.
As result Python pocketsphinx makes a lot of wrong phantom detections.
My Python script is very simple:
By comparing text files with outputs I see, that pocketsphinx_continuous has in output
but Python pocketsphinx has
Now I am trying to make Python pocketsphinx to work (or, to config) same as pocketsphinx_continuous.
How to make Python pocketsphinx use
CMN='current'
instead ofCMN='batch'
? Ie, how to make Python pocketsphinx show in outputinstead of
? :)