gpt4 book ai didi

c++ - pocketsphinx 简单示例在基本 C 测试中有效,但在包含在 C++ 项目中时无效

转载 作者:行者123 更新时间:2023-11-30 17:20:52 25 4
gpt4 key购买 nike

我正在尝试使用 pocketsphinx 构建一个项目。我处于早期状态,我首先在单个 main.c 中尝试了文档中的一个简单示例,该示例读取文件并检测单词:works。

现在我尝试将其包含到我的 C++ SDL 项目中,通过 RtAudio 从麦克风读取音频数据,但它不起作用。

我得到:

INFO: ngram_search_fwdflat.c(302): Utterance vocabulary contains 0 words
ERROR: "ngram_search.c", line 1141: Couldn't find <s> in first frame

麦克风初始化为:

RtAudio::StreamParameters parameters;
parameters.deviceId = adc.getDefaultInputDevice();
parameters.nChannels = 1;
parameters.firstChannel = 0;
unsigned int sampleRate = 16000;
unsigned int bufferFrames = 512;
adc.openStream(NULL, &parameters, RTAUDIO_SINT16, sampleRate, &bufferFrames, &rtCallback, info);
adc.startStream();

然后在我的 C++ 类中,我有以下 protected 变量:

cmd_ln_t *decoderConfig;
ps_decoder_t *currentDecoder;
bool spaceDown_; // true as long as user holds space
bool startNextTime_; // true if user just pressed space first time
bool endNextTime_; // true if user just released space
int16 *detectionBuffer;
int detectionBufferSize;
int detectionBufferPos;

在构造函数中我这样做(删除了错误检查以获得更好的可读性):

#define MODELDIR "/usr/local/share/pocketsphinx/model"
decoderConfig = cmd_ln_init(NULL, ps_args(), TRUE,
"-hmm", MODELDIR "/hmm/en_US/hub4wsj_sc_8k",
"-lm", MODELDIR "/lm/en/turtle.DMP",
"-dict", MODELDIR "/lm/en/turtle.dic",
NULL);
currentDecoder = ps_init(decoderConfig);

然后,当用户按下空格时,我将 startNextTime_ 和 spaceDown_ 设置为 true,如果他释放空格,我将 stopNextTime_ 设置为 true。

RtAudio 回调调用该类的一个方法,该方法执行以下操作(我将整个音频数据从用户按下空格复制到释放到缓冲区中,不确定这是否有必要,但我猜不会造成伤害):

if (spaceDown()) {
if (startNextTime()) {
int rv = ps_start_utt(currentDecoder);
if (rv < 0) {
std::cout << "error on ps_start_utt" << std::endl;
}
setStartNextTime(false);
if (detectionBuffer != 0) {
free(detectionBuffer);
}
detectionBufferSize = 65536;
detectionBuffer = (int16*)malloc(detectionBufferSize*sizeof(int16));
detectionBufferPos = 0;
}

if (frames+detectionBufferPos > detectionBufferSize) {
detectionBufferSize *= 2;
detectionBuffer = (int16*)realloc(detectionBuffer, detectionBufferSize*sizeof(int16));
}

memcpy(detectionBuffer+detectionBufferPos, buf, frames*sizeof(int16));

ps_process_raw(currentDecoder, detectionBuffer+detectionBufferPos, (size_t)frames, 0, 1);
detectionBufferPos += frames;
if (endNextTime()) {
int rv = ps_end_utt(currentDecoder);
int32 score = 0;
char const *hyp = ps_get_hyp(currentDecoder, &score);
if (hyp != NULL) {
std::cout << "got " << hyp << " with score " << score << " and prob " << ps_get_prob(currentDecoder) << std::endl;;
} else {
std::cout << "no hyp " << std::endl;
}
setSpaceDown(false);
setEndNextTime(false);
}
}

在上面的 pocketsphinx 错误消息之后,我得到了“no hyp”输出。我一遍又一遍地将它与我的小测试 c 文件进行比较,唯一的区别是 a) 我从麦克风而不是文件读取数据,b) 它在线程中运行。

有什么想法吗?

编辑:

这是 pocketsphinx 日志:

    INFO: cmd_ln.c(697): Parsing command line:
\
-hmm /usr/local/share/pocketsphinx/model/hmm/en_US/hub4wsj_sc_8k \
-lm /usr/local/share/pocketsphinx/model/lm/en/turtle.DMP \
-dict /usr/local/share/pocketsphinx/model/lm/en/turtle.dic

Current configuration:
[NAME] [DEFLT] [VALUE]
-agc none none
-agcthresh 2.0 2.000000e+00
-allphone
-allphone_ci no no
-alpha 0.97 9.700000e-01
-ascale 20.0 2.000000e+01
-aw 1 1
-backtrace no no
-beam 1e-48 1.000000e-48
-bestpath yes yes
-bestpathlw 9.5 9.500000e+00
-ceplen 13 13
-cmn current current
-cmninit 8.0 8.0
-compallsen no no
-debug 0
-dict /usr/local/share/pocketsphinx/model/lm/en/turtle.dic
-dictcase no no
-dither no no
-doublebw no no
-ds 1 1
-fdict
-feat 1s_c_d_dd 1s_c_d_dd
-featparams
-fillprob 1e-8 1.000000e-08
-frate 100 100
-fsg
-fsgusealtpron yes yes
-fsgusefiller yes yes
-fwdflat yes yes
-fwdflatbeam 1e-64 1.000000e-64
-fwdflatefwid 4 4
-fwdflatlw 8.5 8.500000e+00
-fwdflatsfwin 25 25
-fwdflatwbeam 7e-29 7.000000e-29
-fwdtree yes yes
-hmm /usr/local/share/pocketsphinx/model/hmm/en_US/hub4wsj_sc_8k
-input_endian little little
-jsgf
-keyphrase
-kws
-kws_plp 1e-1 1.000000e-01
-kws_threshold 1 1.000000e+00
-latsize 5000 5000
-lda
-ldadim 0 0
-lifter 0 0
-lm /usr/local/share/pocketsphinx/model/lm/en/turtle.DMP
-lmctl
-lmname
-logbase 1.0001 1.000100e+00
-logfn
-logspec no no
-lowerf 133.33334 1.333333e+02
-lpbeam 1e-40 1.000000e-40
-lponlybeam 7e-29 7.000000e-29
-lw 6.5 6.500000e+00
-maxhmmpf 30000 30000
-maxwpf -1 -1
-mdef
-mean
-mfclogdir
-min_endfr 0 0
-mixw
-mixwfloor 0.0000001 1.000000e-07
-mllr
-mmap yes yes
-ncep 13 13
-nfft 512 512
-nfilt 40 40
-nwpen 1.0 1.000000e+00
-pbeam 1e-48 1.000000e-48
-pip 1.0 1.000000e+00
-pl_beam 1e-10 1.000000e-10
-pl_pbeam 1e-10 1.000000e-10
-pl_pip 1.0 1.000000e+00
-pl_weight 3.0 3.000000e+00
-pl_window 5 5
-rawlogdir
-remove_dc no no
-remove_noise yes yes
-remove_silence yes yes
-round_filters yes yes
-samprate 16000 1.600000e+04
-seed -1 -1
-sendump
-senlogdir
-senmgau
-silprob 0.005 5.000000e-03
-smoothspec no no
-svspec
-tmat
-tmatfloor 0.0001 1.000000e-04
-topn 4 4
-topn_beam 0 0
-toprule
-transform legacy legacy
-unit_area yes yes
-upperf 6855.4976 6.855498e+03
-uw 1.0 1.000000e+00
-vad_postspeech 50 50
-vad_prespeech 10 10
-vad_threshold 2.0 2.000000e+00
-var
-varfloor 0.0001 1.000000e-04
-varnorm no no
-verbose no no
-warp_params
-warp_type inverse_linear inverse_linear
-wbeam 7e-29 7.000000e-29
-wip 0.65 6.500000e-01
-wlen 0.025625 2.562500e-02

INFO: cmd_ln.c(697): Parsing command line:
\
-nfilt 20 \
-lowerf 1 \
-upperf 4000 \
-wlen 0.025 \
-transform dct \
-round_filters no \
-remove_dc yes \
-remove_noise no \
-svspec 0-12/13-25/26-38 \
-feat 1s_c_d_dd \
-agc none \
-cmn current \
-cmninit 45,-3,1 \
-varnorm no

Current configuration:
[NAME] [DEFLT] [VALUE]
-agc none none
-agcthresh 2.0 2.000000e+00
-alpha 0.97 9.700000e-01
-ceplen 13 13
-cmn current current
-cmninit 8.0 45,-3,1
-dither no no
-doublebw no no
-feat 1s_c_d_dd 1s_c_d_dd
-frate 100 100
-input_endian little little
-lda
-ldadim 0 0
-lifter 0 0
-logspec no no
-lowerf 133.33334 1.000000e+00
-ncep 13 13
-nfft 512 512
-nfilt 40 20
-remove_dc no yes
-remove_noise yes no
-remove_silence yes yes
-round_filters yes no
-samprate 16000 1.600000e+04
-seed -1 -1
-smoothspec no no
-svspec 0-12/13-25/26-38
-transform legacy dct
-unit_area yes yes
-upperf 6855.4976 4.000000e+03
-vad_postspeech 50 50
-vad_prespeech 10 10
-vad_threshold 2.0 2.000000e+00
-varnorm no no
-verbose no no
-warp_params
-warp_type inverse_linear inverse_linear
-wlen 0.025625 2.500000e-02

INFO: acmod.c(252): Parsed model-specific feature parameters from /usr/local/share/pocketsphinx/model/hmm/en_US/hub4wsj_sc_8k/feat.params
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(171): Using subvector specification 0-12/13-25/26-38
INFO: mdef.c(518): Reading model definition: /usr/local/share/pocketsphinx/model/hmm/en_US/hub4wsj_sc_8k/mdef
INFO: mdef.c(531): Found byte-order mark BMDF, assuming this is a binary mdef file
INFO: bin_mdef.c(336): Reading binary model definition: /usr/local/share/pocketsphinx/model/hmm/en_US/hub4wsj_sc_8k/mdef
INFO: bin_mdef.c(516): 50 CI-phone, 143047 CD-phone, 3 emitstate/phone, 150 CI-sen, 5150 Sen, 27135 Sen-Seq
INFO: tmat.c(206): Reading HMM transition probability matrices: /usr/local/share/pocketsphinx/model/hmm/en_US/hub4wsj_sc_8k/transition_matrices
INFO: acmod.c(124): Attempting to use PTM computation module
INFO: ms_gauden.c(198): Reading mixture gaussian parameter: /usr/local/share/pocketsphinx/model/hmm/en_US/hub4wsj_sc_8k/means
INFO: ms_gauden.c(292): 1 codebook, 3 feature, size:
INFO: ms_gauden.c(294): 256x13
INFO: ms_gauden.c(294): 256x13
INFO: ms_gauden.c(294): 256x13
INFO: ms_gauden.c(198): Reading mixture gaussian parameter: /usr/local/share/pocketsphinx/model/hmm/en_US/hub4wsj_sc_8k/variances
INFO: ms_gauden.c(292): 1 codebook, 3 feature, size:
INFO: ms_gauden.c(294): 256x13
INFO: ms_gauden.c(294): 256x13
INFO: ms_gauden.c(294): 256x13
INFO: ms_gauden.c(354): 0 variance values floored
INFO: ptm_mgau.c(805): Number of codebooks doesn't match number of ciphones, doesn't look like PTM: 1 != 50
INFO: acmod.c(126): Attempting to use semi-continuous computation module
INFO: ms_gauden.c(198): Reading mixture gaussian parameter: /usr/local/share/pocketsphinx/model/hmm/en_US/hub4wsj_sc_8k/means
INFO: ms_gauden.c(292): 1 codebook, 3 feature, size:
INFO: ms_gauden.c(294): 256x13
INFO: ms_gauden.c(294): 256x13
INFO: ms_gauden.c(294): 256x13
INFO: ms_gauden.c(198): Reading mixture gaussian parameter: /usr/local/share/pocketsphinx/model/hmm/en_US/hub4wsj_sc_8k/variances
INFO: ms_gauden.c(292): 1 codebook, 3 feature, size:
INFO: ms_gauden.c(294): 256x13
INFO: ms_gauden.c(294): 256x13
INFO: ms_gauden.c(294): 256x13
INFO: ms_gauden.c(354): 0 variance values floored
INFO: s2_semi_mgau.c(904): Loading senones from dump file /usr/local/share/pocketsphinx/model/hmm/en_US/hub4wsj_sc_8k/sendump
INFO: s2_semi_mgau.c(928): BEGIN FILE FORMAT DESCRIPTION
INFO: s2_semi_mgau.c(1023): Using memory-mapped I/O for senones
INFO: s2_semi_mgau.c(1294): Maximum top-N: 4 Top-N beams: 0 0 0
INFO: phone_loop_search.c(115): State beam -225 Phone exit beam -225 Insertion penalty 0
INFO: dict.c(320): Allocating 4217 * 32 bytes (131 KiB) for word entries
INFO: dict.c(333): Reading main dictionary: /usr/local/share/pocketsphinx/model/lm/en/turtle.dic
INFO: dict.c(213): Allocated 0 KiB for strings, 0 KiB for phones
INFO: dict.c(336): 110 words read
INFO: dict.c(342): Reading filler dictionary: /usr/local/share/pocketsphinx/model/hmm/en_US/hub4wsj_sc_8k/noisedict
INFO: dict.c(213): Allocated 0 KiB for strings, 0 KiB for phones
INFO: dict.c(345): 11 words read
INFO: dict2pid.c(396): Building PID tables for dictionary
INFO: dict2pid.c(406): Allocating 50^3 * 2 bytes (244 KiB) for word-initial triphones
INFO: dict2pid.c(132): Allocated 60400 bytes (58 KiB) for word-final triphones
INFO: dict2pid.c(196): Allocated 60400 bytes (58 KiB) for single-phone word triphones
INFO: ngram_model_arpa.c(77): No \data\ mark in LM file
INFO: ngram_model_dmp.c(142): Will use memory-mapped I/O for LM file
INFO: ngram_model_dmp.c(196): ngrams 1=91, 2=212, 3=177
INFO: ngram_model_dmp.c(242): 91 = LM.unigrams(+trailer) read
INFO: ngram_model_dmp.c(288): 212 = LM.bigrams(+trailer) read
INFO: ngram_model_dmp.c(314): 177 = LM.trigrams read
INFO: ngram_model_dmp.c(339): 20 = LM.prob2 entries read
INFO: ngram_model_dmp.c(359): 12 = LM.bo_wt2 entries read
INFO: ngram_model_dmp.c(379): 12 = LM.prob3 entries read
INFO: ngram_model_dmp.c(407): 1 = LM.tseg_base entries read
INFO: ngram_model_dmp.c(463): 91 = ascii word strings read
INFO: ngram_search_fwdtree.c(99): 67 unique initial diphones
INFO: ngram_search_fwdtree.c(148): 0 root, 0 non-root channels, 15 single-phone words
INFO: ngram_search_fwdtree.c(186): Creating search tree
INFO: ngram_search_fwdtree.c(192): before: 0 root, 0 non-root channels, 15 single-phone words
INFO: ngram_search_fwdtree.c(326): after: max nonroot chan increased to 328
INFO: ngram_search_fwdtree.c(339): after: 67 root, 200 non-root channels, 14 single-phone words
INFO: ngram_search_fwdflat.c(157): fwdflat: min_ef_width = 4, max_sf_win = 25
INFO: ngram_search_fwdflat.c(302): Utterance vocabulary contains 0 words
ERROR: "ngram_search.c", line 1141: Couldn't find <s> in first frame
no hyp

最佳答案

我有类似的经历(解析文件工作正常;切换到麦克风会出现 "Couldn't find <s> in first frame" 错误)。我检查了麦克风数据流,发现它有一个 WAV header 。我将麦克风流切换为 RAW,而不是默认的 WAV,然后它开始工作。我不熟悉 RtAudio,但我推测:1)它不是原始 PCM 数据,或者 2)它以 header 开头,这是 sphinx 不喜欢的。

注意:我正在使用arecord使用 Raspbian Jessie 在 Raspberry Pi 上获取麦克风流。

关于c++ - pocketsphinx 简单示例在基本 C 测试中有效,但在包含在 C++ 项目中时无效,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/28404163/

25 4 0
Copyright 2021 - 2024 cfsdn All Rights Reserved 蜀ICP备2022000587号
广告合作:1813099741@qq.com 6ren.com