.TH POCKETSPHINX_CONTINUOUS 1 "2007-08-27" .SH NAME pocketsphinx_continuous \- Run speech recognition in continuous listening mode .SH SYNOPSIS .B pocketsphinx_continuous .RI \fB\-hmm\fR \fIhmmdir\fR \fB\-dict\fR \fIdictfile\fR [\fI options \fR]... .SH DESCRIPTION .PP This program opens the audio device and waits for speech. When it detects an utterance, it performs speech recognition on it. .TP .B \-adchdr Size of audio file header in bytes (headers are ignored) .TP .B \-adcin Input is raw audio data .TP .B \-agc Automatic gain control for c0 ('max', 'emax', 'noise', or 'none') .TP .B \-agcthresh Initial threshold for automatic gain control .TP .B \-allphone phoneme decoding with phonetic lm .TP .B \-allphone_ci Perform phoneme decoding with phonetic lm and context-independent units only .TP .B \-alpha Preemphasis parameter .TP .B \-argfile file giving extra arguments. .TP .B \-ascale Inverse of acoustic model scale for confidence score calculation .TP .B \-aw Inverse weight applied to acoustic scores. .TP .B \-backtrace Print results and backtraces to log file. .TP .B \-beam Beam width applied to every frame in Viterbi search (smaller values mean wider beam) .TP .B \-bestpath Run bestpath (Dijkstra) search over word lattice (3rd pass) .TP .B \-bestpathlw Language model probability weight for bestpath search .TP .B \-build_outdirs Create missing subdirectories in output directory .TP .B \-cepdir files directory (prefixed to filespecs in control file) .TP .B \-cepext Input files extension (suffixed to filespecs in control file) .TP .B \-ceplen Number of components in the input feature vector .TP .B \-cmn Cepstral mean normalization scheme ('current', 'prior', or 'none') .TP .B \-cmninit Initial values (comma-separated) for cepstral mean when 'prior' is used .TP .B \-compallsen Compute all senone scores in every frame (can be faster when there are many senones) .TP .B \-ctl file listing utterances to be processed .TP .B \-ctlcount No. of utterances to be processed (after skipping \fB\-ctloffset\fR entries) .TP .B \-ctlincr Do every Nth line in the control file .TP .B \-ctloffset No. of utterances at the beginning of \fB\-ctl\fR file to be skipped .TP .B \-ctm output in CTM file format (may require post-sorting) .TP .B \-debug level for debugging messages .TP .B \-dict pronunciation dictionary (lexicon) input file .TP .B \-dictcase Dictionary is case sensitive (NOTE: case insensitivity applies to ASCII characters only) .TP .B \-dither Add 1/2-bit noise .TP .B \-doublebw Use double bandwidth filters (same center freq) .TP .B \-ds Frame GMM computation downsampling ratio .TP .B \-fdict word pronunciation dictionary input file .TP .B \-feat Feature stream type, depends on the acoustic model .TP .B \-featparams containing feature extraction parameters. .TP .B \-fillprob Filler word transition probability .TP .B \-frate Frame rate .TP .B \-fsg format finite state grammar file .TP .B \-fsgctl file listing FSG file to use for each utterance .TP .B \-fsgdir directory for FSG files .TP .B \-fsgext extension for FSG files (including leading dot) .TP .B \-fsgusealtpron Add alternate pronunciations to FSG .TP .B \-fsgusefiller Insert filler words at each state. .TP .B \-fwdflat Run forward flat-lexicon search over word lattice (2nd pass) .TP .B \-fwdflatbeam Beam width applied to every frame in second-pass flat search .TP .B \-fwdflatefwid Minimum number of end frames for a word to be searched in fwdflat search .TP .B \-fwdflatlw Language model probability weight for flat lexicon (2nd pass) decoding .TP .B \-fwdflatsfwin Window of frames in lattice to search for successor words in fwdflat search .TP .B \-fwdflatwbeam Beam width applied to word exits in second-pass flat search .TP .B \-fwdtree Run forward lexicon-tree search (1st pass) .TP .B \-hmm containing acoustic model files. .TP .B \-hyp output file name .TP .B \-hypseg output with segmentation file name .TP .B \-input_endian Endianness of input data, big or little, ignored if NIST or MS Wav .TP .B \-jsgf grammar file .TP .B \-keyphrase to spot .TP .B \-kws file with keyphrases to spot, one per line .TP .B \-kws_delay Delay to wait for best detection score .TP .B \-kws_plp Phone loop probability for keyword spotting .TP .B \-kws_threshold Threshold for p(hyp)/p(alternatives) ratio .TP .B \-latsize Initial backpointer table size .TP .B \-lda containing transformation matrix to be applied to features (single-stream features only) .TP .B \-ldadim Dimensionality of output of feature transformation (0 to use entire matrix) .TP .B \-lifter Length of sin-curve for liftering, or 0 for no liftering. .TP .B \-lm trigram language model input file .TP .B \-lmctl a set of language model .PP The .B \-hmm and .B \-dict arguments are always required. Either .B \-lm or .B \-fsg is required, depending on whether you are using a statistical language model or a finite-state grammar. .SH AUTHOR Written by numerous people at CMU from 1994 onwards. This manual page by David Huggins-Daines .SH COPYRIGHT Copyright \(co 1994-2007 Carnegie Mellon University. See the file \fICOPYING\fR included with this package for more information. .br .SH "SEE ALSO" .BR pocketsphinx_batch (1), .BR sphinx_fe (1). .br