Как изменить это приложение, чтобы отключить ввод из командной строки?
Это исходный код:
#include <stdio.h>
#include <string.h>
#include <assert.h>
#if defined(_WIN32) && !defined(__CYGWIN__)
#include <windows.h>
#else
#include <sys/select.h>
#endif
#include <sphinxbase/err.h>
#include <sphinxbase/ad.h>
#include "pocketsphinx.h"
static const arg_t cont_args_def[] = {
POCKETSPHINX_OPTIONS,
/* Argument file. */
{"-argfile",
ARG_STRING,
NULL,
"Argument file giving extra arguments."},
{"-adcdev",
ARG_STRING,
NULL,
"Name of audio device to use for input."},
{"-infile",
ARG_STRING,
NULL,
"Audio file to transcribe."},
{"-inmic",
ARG_BOOLEAN,
"no",
"Transcribe audio from microphone."},
{"-time",
ARG_BOOLEAN,
"no",
"Print word times in file transcription."},
CMDLN_EMPTY_OPTION
};
static ps_decoder_t *ps;
static cmd_ln_t *config;
static FILE *rawfd;
static void
print_word_times()
{
int frame_rate = cmd_ln_int32_r(config, "-frate");
ps_seg_t *iter = ps_seg_iter(ps);
while (iter != NULL) {
int32 sf, ef, pprob;
float conf;
ps_seg_frames(iter, &sf, &ef);
pprob = ps_seg_prob(iter, NULL, NULL, NULL);
conf = logmath_exp(ps_get_logmath(ps), pprob);
printf("%s %.3f %.3f %f\n", ps_seg_word(iter), ((float)sf / frame_rate),
((float) ef / frame_rate), conf);
iter = ps_seg_next(iter);
}
}
static int
check_wav_header(char *header, int expected_sr)
{
int sr;
if (header[34] != 0x10) {
E_ERROR("Input audio file has [%d] bits per sample instead of 16\n", header[34]);
return 0;
}
if (header[20] != 0x1) {
E_ERROR("Input audio file has compression [%d] and not required PCM\n", header[20]);
return 0;
}
if (header[22] != 0x1) {
E_ERROR("Input audio file has [%d] channels, expected single channel mono\n", header[22]);
return 0;
}
sr = ((header[24] & 0xFF) | ((header[25] & 0xFF) << 8) | ((header[26] & 0xFF) << 16) | ((header[27] & 0xFF) << 24));
if (sr != expected_sr) {
E_ERROR("Input audio file has sample rate [%d], but decoder expects [%d]\n", sr, expected_sr);
return 0;
}
return 1;
}
/*
* Continuous recognition from a file
*/
static void
recognize_from_file()
{
int16 adbuf[2048];
const char *fname;
const char *hyp;
int32 k;
uint8 utt_started, in_speech;
int32 print_times = cmd_ln_boolean_r(config, "-time");
fname = cmd_ln_str_r(config, "-infile");
if ((rawfd = fopen(fname, "rb")) == NULL) {
E_FATAL_SYSTEM("Failed to open file '%s' for reading",
fname);
}
if (strlen(fname) > 4 && strcmp(fname + strlen(fname) - 4, ".wav") == 0) {
char waveheader[44];
fread(waveheader, 1, 44, rawfd);
if (!check_wav_header(waveheader, (int)cmd_ln_float32_r(config, "-samprate")))
E_FATAL("Failed to process file '%s' due to format mismatch.\n", fname);
}
if (strlen(fname) > 4 && strcmp(fname + strlen(fname) - 4, ".mp3") == 0) {
E_FATAL("Can not decode mp3 files, convert input file to WAV 16kHz 16-bit mono before decoding.\n");
}
ps_start_utt(ps);
utt_started = FALSE;
while ((k = fread(adbuf, sizeof(int16), 2048, rawfd)) > 0) {
ps_process_raw(ps, adbuf, k, FALSE, FALSE);
in_speech = ps_get_in_speech(ps);
if (in_speech && !utt_started) {
utt_started = TRUE;
}
if (!in_speech && utt_started) {
ps_end_utt(ps);
hyp = ps_get_hyp(ps, NULL);
if (hyp != NULL)
printf("%s\n", hyp);
if (print_times)
print_word_times();
fflush(stdout);
ps_start_utt(ps);
utt_started = FALSE;
}
}
ps_end_utt(ps);
if (utt_started) {
hyp = ps_get_hyp(ps, NULL);
if (hyp != NULL) {
printf("%s\n", hyp);
if (print_times) {
print_word_times();
}
}
}
fclose(rawfd);
}
/* Sleep for specified msec */
static void
sleep_msec(int32 ms)
{
#if (defined(_WIN32) && !defined(GNUWINCE)) || defined(_WIN32_WCE)
Sleep(ms);
#else
/* ------------------- Unix ------------------ */
struct timeval tmo;
tmo.tv_sec = 0;
tmo.tv_usec = ms * 1000;
select(0, NULL, NULL, NULL, &tmo);
#endif
}
/*
* Main utterance processing loop:
* for (;;) {
* start utterance and wait for speech to process
* decoding till end-of-utterance silence will be detected
* print utterance result;
* }
*/
static void
recognize_from_microphone()
{
ad_rec_t *ad;
int16 adbuf[2048];
uint8 utt_started, in_speech;
int32 k;
char const *hyp;
if ((ad = ad_open_dev(cmd_ln_str_r(config, "-adcdev"),
(int) cmd_ln_float32_r(config,
"-samprate"))) == NULL)
E_FATAL("Failed to open audio device\n");
if (ad_start_rec(ad) < 0)
E_FATAL("Failed to start recording\n");
if (ps_start_utt(ps) < 0)
E_FATAL("Failed to start utterance\n");
utt_started = FALSE;
E_INFO("Ready....\n");
for (;;) {
if ((k = ad_read(ad, adbuf, 2048)) < 0)
E_FATAL("Failed to read audio\n");
ps_process_raw(ps, adbuf, k, FALSE, FALSE);
in_speech = ps_get_in_speech(ps);
if (in_speech && !utt_started) {
utt_started = TRUE;
E_INFO("Listening...\n");
}
if (!in_speech && utt_started) {
/* speech -> silence transition, time to start new utterance */
ps_end_utt(ps);
hyp = ps_get_hyp(ps, NULL );
if (hyp != NULL) {
printf("%s\n", hyp);
fflush(stdout);
}
if (ps_start_utt(ps) < 0)
E_FATAL("Failed to start utterance\n");
utt_started = FALSE;
E_INFO("Ready....\n");
}
sleep_msec(100);
}
ad_close(ad);
}
int
main(int argc, char *argv[])
{
char const *cfg;
config = cmd_ln_parse_r(NULL, cont_args_def, argc, argv, TRUE);
/* Handle argument file as -argfile. */
if (config && (cfg = cmd_ln_str_r(config, "-argfile")) != NULL) {
config = cmd_ln_parse_file_r(config, cont_args_def, cfg, FALSE);
}
if (config == NULL || (cmd_ln_str_r(config, "-infile") == NULL && cmd_ln_boolean_r(config, "-inmic") == FALSE)) {
E_INFO("Specify '-infile <file.wav>' to recognize from file or '-inmic yes' to recognize from microphone.\n");
cmd_ln_free_r(config);
return 1;
}
ps_default_search_args(config);
ps = ps_init(config);
if (ps == NULL) {
cmd_ln_free_r(config);
return 1;
}
E_INFO("%s COMPILED ON: %s, AT: %s\n\n", argv[0], __DATE__, __TIME__);
if (cmd_ln_str_r(config, "-infile") != NULL) {
recognize_from_file();
} else if (cmd_ln_boolean_r(config, "-inmic")) {
recognize_from_microphone();
}
ps_free(ps);
cmd_ln_free_r(config);
return 0;
}
#if defined(_WIN32_WCE)
#pragma comment(linker,"/entry:mainWCRTStartup")
#include <windows.h>
//Windows Mobile has the Unicode main only
int
wmain(int32 argc, wchar_t * wargv[])
{
char **argv;
size_t wlen;
size_t len;
int i;
argv = malloc(argc * sizeof(char *));
for (i = 0; i < argc; i++) {
wlen = lstrlenW(wargv[i]);
len = wcstombs(NULL, wargv[i], wlen);
argv[i] = malloc(len + 1);
wcstombs(argv[i], wargv[i], wlen);
}
//assuming ASCII parameters
return main(argc, argv);
}
#endif
Я могу скомпилировать его с помощью этой команды:
g++ -o output continuous.cpp -DMODELDIR=\"`pkg-config --variable=modeldir pocketsphinx`\" `pkg-config --cflags --libs pocketsphinx sphinxbase`
И запустите его по этой команде :
output -inmic yes
Что я уже пробовал:
Но мне нравится преобразовывать код, так как ему не нужно вставлять "да", и он автоматически запускает программу с микрофона. Но я получил ошибку сегментации(ядро сброшено) , когда я изменил эти части:
static const arg_t cont_args_def= {"-inmic",
ARG_BOOLEAN,
"no",
"Transcribe audio from microphone."};
int main(int argc, char *argv[])
{
config = cmd_ln_parse_r(NULL, cont_args_def, argc, argv, TRUE);
if (cmd_ln_boolean_r(config, "-inmic")) {
recognize_from_microphone();
}
// recognize_from_microphone();
ps_free(ps);
cmd_ln_free_r(config);
return 0;
}
Я много искал и красил документацию, но не мог понять, в чем проблема?
EDIT: я изменил код следующим образом:
static const arg_t cont_args_def[] = {
POCKETSPHINX_OPTIONS,
{"-inmic",
ARG_BOOLEAN,
"no",
"Transcribe audio from microphone."},
CMDLN_EMPTY_OPTION
};
int main(int argc, char *argv[])
{
config = cmd_ln_parse_r(NULL, cont_args_def, argc, argv, TRUE);
// if (cmd_ln_boolean_r(config, "-inmic")) {
recognize_from_microphone();
// }
// recognize_from_microphone();
ps_free(ps);
cmd_ln_free_r(config);
return 0;
}
Но результат есть:
Arguments list definition:
[NAME] [DEFLT] [DESCR]
-agc none Automatic gain control for c0 ('max', 'emax', 'noise', or 'none')
-agcthresh 2.0 Initial threshold for automatic gain control
-allphone Perform phoneme decoding with phonetic lm
-allphone_ci no Perform phoneme decoding with phonetic lm and context-independent units only
-alpha 0.97 Preemphasis parameter
-ascale 20.0 Inverse of acoustic model scale for confidence score calculation
-aw 1 Inverse weight applied to acoustic scores.
-backtrace no Print results and backtraces to log.
-beam 1e-48 Beam width applied to every frame in Viterbi search (smaller values mean wider beam)
-bestpath yes Run bestpath (Dijkstra) search over word lattice (3rd pass)
-bestpathlw 9.5 Language model probability weight for bestpath search
-ceplen 13 Number of components in the input feature vector
-cmn live Cepstral mean normalization scheme ('live', 'batch', or 'none')
-cmninit 40,3,-1 Initial values (comma-separated) for cepstral mean when 'live' is used
-compallsen no Compute all senone scores in every frame (can be faster when there are many senones)
-debug Verbosity level for debugging messages
-dict Main pronunciation dictionary (lexicon) input file
-dictcase no Dictionary is case sensitive (NOTE: case insensitivity applies to ASCII characters only)
-dither no Add 1/2-bit noise
-doublebw no Use double bandwidth filters (same center freq)
-ds 1 Frame GMM computation downsampling ratio
-fdict Noise word pronunciation dictionary input file
-feat 1s_c_d_dd Feature stream type, depends on the acoustic model
-featparams File containing feature extraction parameters.
-fillprob 1e-8 Filler word transition probability
-frate 100 Frame rate
-fsg Sphinx format finite state grammar file
-fsgusealtpron yes Add alternate pronunciations to FSG
-fsgusefiller yes Insert filler words at each state.
-fwdflat yes Run forward flat-lexicon search over word lattice (2nd pass)
-fwdflatbeam 1e-64 Beam width applied to every frame in second-pass flat search
-fwdflatefwid 4 Minimum number of end frames for a word to be searched in fwdflat search
-fwdflatlw 8.5 Language model probability weight for flat lexicon (2nd pass) decoding
-fwdflatsfwin 25 Window of frames in lattice to search for successor words in fwdflat search
-fwdflatwbeam 7e-29 Beam width applied to word exits in second-pass flat search
-fwdtree yes Run forward lexicon-tree search (1st pass)
-hmm Directory containing acoustic model files.
-inmic no Transcribe audio from microphone.
-input_endian little Endianness of input data, big or little, ignored if NIST or MS Wav
-jsgf JSGF grammar file
-keyphrase Keyphrase to spot
-kws A file with keyphrases to spot, one per line
-kws_delay 10 Delay to wait for best detection score
-kws_plp 1e-1 Phone loop probability for keyphrase spotting
-kws_threshold 1 Threshold for p(hyp)/p(alternatives) ratio
-latsize 5000 Initial backpointer table size
-lda File containing transformation matrix to be applied to features (single-stream features only)
-ldadim 0 Dimensionality of output of feature transformation (0 to use entire matrix)
-lifter 0 Length of sin-curve for liftering, or 0 for no liftering.
-lm Word trigram language model input file
-lmctl Specify a set of language model
-lmname Which language model in -lmctl to use by default
-logbase 1.0001 Base in which all log-likelihoods calculated
-logfn File to write log messages in
-logspec no Write out logspectral files instead of cepstra
-lowerf 133.33334 Lower edge of filters
-lpbeam 1e-40 Beam width applied to last phone in words
-lponlybeam 7e-29 Beam width applied to last phone in single-phone words
-lw 6.5 Language model probability weight
-maxhmmpf 30000 Maximum number of active HMMs to maintain at each frame (or -1 for no pruning)
-maxwpf -1 Maximum number of distinct word exits at each frame (or -1 for no pruning)
-mdef Model definition input file
-mean Mixture gaussian means input file
-mfclogdir Directory to log feature files to
-min_endfr 0 Nodes ignored in lattice construction if they persist for fewer than N frames
-mixw Senone mixture weights input file (uncompressed)
-mixwfloor 0.0000001 Senone mixture weights floor (applied to data from -mixw file)
-mllr MLLR transformation to apply to means and variances
-mmap yes Use memory-mapped I/O (if possible) for model files
-ncep 13 Number of cep coefficients
-nfft 512 Size of FFT
-nfilt 40 Number of filter banks
-nwpen 1.0 New word transition penalty
-pbeam 1e-48 Beam width applied to phone transitions
-pip 1.0 Phone insertion penalty
-pl_beam 1e-10 Beam width applied to phone loop search for lookahead
-pl_pbeam 1e-10 Beam width applied to phone loop transitions for lookahead
-pl_pip 1.0 Phone insertion penalty for phone loop
-pl_weight 3.0 Weight for phoneme lookahead penalties
-pl_window 5 Phoneme lookahead window size, in frames
-rawlogdir Directory to log raw audio files to
-remove_dc no Remove DC offset from each frame
-remove_noise yes Remove noise with spectral subtraction in mel-energies
-remove_silence yes Enables VAD, removes silence frames from processing
-round_filters yes Round mel filter frequencies to DFT points
-samprate 16000 Sampling rate
-seed -1 Seed for random number generator; if less than zero, pick our own
-sendump Senone dump (compressed mixture weights) input file
-senlogdir Directory to log senone score files to
-senmgau Senone to codebook mapping input file (usually not needed)
-silprob 0.005 Silence word transition probability
-smoothspec no Write out cepstral-smoothed logspectral files
-svspec Subvector specification (e.g., 24,0-11/25,12-23/26-38 or 0-12/13-25/26-38)
-tmat HMM state transition matrix input file
-tmatfloor 0.0001 HMM state transition probability floor (applied to -tmat file)
-topn 4 Maximum number of top Gaussians to use in scoring.
-topn_beam 0 Beam width used to determine top-N Gaussians (or a list, per-feature)
-toprule Start rule for JSGF (first public rule is default)
-transform legacy Which type of transform to use to calculate cepstra (legacy, dct, or htk)
-unit_area yes Normalize mel filters to unit area
-upperf 6855.4976 Upper edge of filters
-uw 1.0 Unigram weight
-vad_postspeech 50 Num of silence frames to keep after from speech to silence.
-vad_prespeech 20 Num of speech frames to keep before silence to speech.
-vad_startspeech 10 Num of speech frames to trigger vad from silence to speech.
-vad_threshold 2.0 Threshold for decision between noise and silence frames. Log-ratio between signal level and noise level.
-var Mixture gaussian variances input file
-varfloor 0.0001 Mixture gaussian variance floor (applied to data from -var file)
-varnorm no Variance normalize each utterance (only if CMN == current)
-verbose no Show input filenames
-warp_params Parameters defining the warping function
-warp_type inverse_linear Warping function type (or shape)
-wbeam 7e-29 Beam width applied to word exits
-wip 0.65 Word insertion penalty
-wlen 0.025625 Hamming window length
Segmentation fault (core dumped)