Python pocketsphinx 0.1.15配置与 pocketsphinx_continuous.exe配置的对比。

Question

我有一个解决方案(jsgf, dict, hmm)，可以很好的与

pocketsphinx_continuous -hmm zero_ru.cd_cont_4000 -dict vocabular.dict -jsgf calc.jsgf -inmic yes

现在我正试图将它移植到Pocketsphinx 0.1.15 (https:/pypi.orgprojectpocketsphinx。)，并且我看到，在verbose输出中，Python pocketsphinx的配置和pocketsphinx_continuous的配置是不一样的。

结果Python pocketsphinx做了很多错误的phantom检测。

我的Python脚本非常简单。

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)

通过比较文本文件和输出结果，我看到 pocketsphinx_continuous 的输出结果是：

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

但Python pocketsphinx有

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

现在我想让Python pocketsphinx和pocketsphinx_continuous一样。

如何使Python pocketsphinx使用 CMN='current' 而不是 CMN='batch'即如何使Python pocketsphinx显示在输出中？

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

而不是

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

? :)

Answer 1

Batch和current是相同的模式。它只是在某个时间点上重命名了，它只是取决于版本。

幻影检测可能是由于你的jsgf中的词汇量非常小，而不是cmn。

Pocketsphinx现在还挺过时的软件，你最好用vosk代替。