399 lines
8.4 KiB
Groff
399 lines
8.4 KiB
Groff
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.TH POCKETSPHINX_CONTINUOUS 1 "2016-04-01"
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.SH NAME
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pocketsphinx_continuous \- Run speech recognition in continuous listening mode
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.SH SYNOPSIS
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.B pocketsphinx_continuous
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.RI [ \fB\-infile\fR
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\fIfilename.wav\fR ]
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[ \fB\-inmic yes\fR ]
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[ \fIoptions\fR ]...
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.SH DESCRIPTION
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.PP
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This program opens the audio device or a file and waits for speech. When it
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detects an utterance, it performs speech recognition on it.
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.PP
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To record from microphone and decode use
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.TP
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.B \-inmic yes
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.PP
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To decode a 16kHz 16-bit mono WAV file use
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.TP
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.B \-infile \fIfilename.wav\fR
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.PP
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You can also specify
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.B \-lm
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or
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.B \-fsg
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or
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.B \-kws
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depending on whether you are using a statistical language
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model or a finite-state grammar or look for a keyphase.
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.SH OPTIONS
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.TP
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.B \-adcdev
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of audio device to use for input.
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.TP
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.B \-agc
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Automatic gain control for c0 ('max', 'emax', 'noise', or 'none')
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.TP
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.B \-agcthresh
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Initial threshold for automatic gain control
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.TP
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.B \-allphone
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phoneme decoding with phonetic lm
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.TP
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.B \-allphone_ci
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Perform phoneme decoding with phonetic lm and context-independent units only
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.TP
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.B \-alpha
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Preemphasis parameter
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.TP
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.B \-argfile
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file giving extra arguments.
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.TP
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.B \-ascale
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Inverse of acoustic model scale for confidence score calculation
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.TP
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.B \-aw
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Inverse weight applied to acoustic scores.
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.TP
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.B \-backtrace
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Print results and backtraces to log file.
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.TP
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.B \-beam
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Beam width applied to every frame in Viterbi search (smaller values mean wider beam)
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.TP
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.B \-bestpath
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Run bestpath (Dijkstra) search over word lattice (3rd pass)
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.TP
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.B \-bestpathlw
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Language model probability weight for bestpath search
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.TP
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.B \-ceplen
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Number of components in the input feature vector
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.TP
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.B \-cmn
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Cepstral mean normalization scheme ('current', 'prior', or 'none')
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.TP
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.B \-cmninit
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Initial values (comma-separated) for cepstral mean when 'prior' is used
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.TP
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.B \-compallsen
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Compute all senone scores in every frame (can be faster when there are many senones)
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.TP
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.B \-debug
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level for debugging messages
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.TP
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.B \-dict
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pronunciation dictionary (lexicon) input file
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.TP
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.B \-dictcase
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Dictionary is case sensitive (NOTE: case insensitivity applies to ASCII characters only)
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.TP
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.B \-dither
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Add 1/2-bit noise
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.TP
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.B \-doublebw
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Use double bandwidth filters (same center freq)
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.TP
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.B \-ds
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Frame GMM computation downsampling ratio
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.TP
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.B \-fdict
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word pronunciation dictionary input file
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.TP
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.B \-feat
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Feature stream type, depends on the acoustic model
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.TP
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.B \-featparams
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containing feature extraction parameters.
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.TP
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.B \-fillprob
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Filler word transition probability
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.TP
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.B \-frate
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Frame rate
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.TP
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.B \-fsg
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format finite state grammar file
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.TP
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.B \-fsgusealtpron
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Add alternate pronunciations to FSG
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.TP
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.B \-fsgusefiller
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Insert filler words at each state.
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.TP
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.B \-fwdflat
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Run forward flat-lexicon search over word lattice (2nd pass)
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.TP
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.B \-fwdflatbeam
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Beam width applied to every frame in second-pass flat search
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.TP
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.B \-fwdflatefwid
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Minimum number of end frames for a word to be searched in fwdflat search
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.TP
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.B \-fwdflatlw
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Language model probability weight for flat lexicon (2nd pass) decoding
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.TP
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.B \-fwdflatsfwin
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Window of frames in lattice to search for successor words in fwdflat search
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.TP
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.B \-fwdflatwbeam
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Beam width applied to word exits in second-pass flat search
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.TP
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.B \-fwdtree
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Run forward lexicon-tree search (1st pass)
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.TP
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.B \-hmm
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containing acoustic model files.
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.TP
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.B \-infile
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file to transcribe.
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.TP
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.B \-inmic
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Transcribe audio from microphone.
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.TP
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.B \-input_endian
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Endianness of input data, big or little, ignored if NIST or MS Wav
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.TP
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.B \-jsgf
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grammar file
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.TP
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.B \-keyphrase
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to spot
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.TP
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.B \-kws
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file with keyphrases to spot, one per line
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.TP
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.B \-kws_delay
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Delay to wait for best detection score
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.TP
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.B \-kws_plp
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Phone loop probability for keyword spotting
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.TP
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.B \-kws_threshold
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Threshold for p(hyp)/p(alternatives) ratio
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.TP
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.B \-latsize
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Initial backpointer table size
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.TP
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.B \-lda
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containing transformation matrix to be applied to features (single-stream features only)
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.TP
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.B \-ldadim
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Dimensionality of output of feature transformation (0 to use entire matrix)
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.TP
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.B \-lifter
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Length of sin-curve for liftering, or 0 for no liftering.
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.TP
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.B \-lm
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trigram language model input file
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.TP
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.B \-lmctl
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a set of language model
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.TP
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.B \-lmname
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language model in \fB\-lmctl\fR to use by default
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.TP
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.B \-logbase
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Base in which all log-likelihoods calculated
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.TP
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.B \-logfn
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to write log messages in
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.TP
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.B \-logspec
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Write out logspectral files instead of cepstra
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.TP
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.B \-lowerf
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Lower edge of filters
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.TP
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.B \-lpbeam
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Beam width applied to last phone in words
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.TP
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.B \-lponlybeam
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Beam width applied to last phone in single-phone words
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.TP
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.B \-lw
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Language model probability weight
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.TP
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.B \-maxhmmpf
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Maximum number of active HMMs to maintain at each frame (or \fB\-1\fR for no pruning)
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.TP
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.B \-maxwpf
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Maximum number of distinct word exits at each frame (or \fB\-1\fR for no pruning)
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.TP
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.B \-mdef
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definition input file
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.TP
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.B \-mean
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gaussian means input file
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.TP
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.B \-mfclogdir
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to log feature files to
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.TP
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.B \-min_endfr
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Nodes ignored in lattice construction if they persist for fewer than N frames
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.TP
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.B \-mixw
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mixture weights input file (uncompressed)
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.TP
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.B \-mixwfloor
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Senone mixture weights floor (applied to data from \fB\-mixw\fR file)
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.TP
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.B \-mllr
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transformation to apply to means and variances
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.TP
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.B \-mmap
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Use memory-mapped I/O (if possible) for model files
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.TP
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.B \-ncep
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Number of cep coefficients
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.TP
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.B \-nfft
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Size of FFT
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.TP
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.B \-nfilt
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Number of filter banks
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.TP
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.B \-nwpen
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New word transition penalty
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.TP
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.B \-pbeam
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Beam width applied to phone transitions
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.TP
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.B \-pip
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Phone insertion penalty
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.TP
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.B \-pl_beam
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Beam width applied to phone loop search for lookahead
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.TP
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.B \-pl_pbeam
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Beam width applied to phone loop transitions for lookahead
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.TP
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.B \-pl_pip
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Phone insertion penalty for phone loop
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.TP
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.B \-pl_weight
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Weight for phoneme lookahead penalties
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.TP
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.B \-pl_window
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Phoneme lookahead window size, in frames
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.TP
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.B \-rawlogdir
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to log raw audio files to
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.TP
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.B \-remove_dc
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Remove DC offset from each frame
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.TP
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.B \-remove_noise
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Remove noise with spectral subtraction in mel-energies
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.TP
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.B \-remove_silence
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Enables VAD, removes silence frames from processing
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.TP
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.B \-round_filters
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Round mel filter frequencies to DFT points
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.TP
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.B \-samprate
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Sampling rate
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.TP
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.B \-seed
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Seed for random number generator; if less than zero, pick our own
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.TP
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.B \-sendump
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dump (compressed mixture weights) input file
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.TP
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.B \-senlogdir
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to log senone score files to
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.TP
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.B \-senmgau
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to codebook mapping input file (usually not needed)
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.TP
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.B \-silprob
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Silence word transition probability
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.TP
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.B \-smoothspec
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Write out cepstral-smoothed logspectral files
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.TP
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.B \-svspec
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specification (e.g., 24,0-11/25,12-23/26-38 or 0-12/13-25/26-38)
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.TP
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.B \-time
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Print word times in file transcription.
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.TP
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.B \-tmat
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state transition matrix input file
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.TP
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.B \-tmatfloor
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HMM state transition probability floor (applied to \fB\-tmat\fR file)
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.TP
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.B \-topn
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Maximum number of top Gaussians to use in scoring.
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.TP
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.B \-topn_beam
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Beam width used to determine top-N Gaussians (or a list, per-feature)
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.TP
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.B \-toprule
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rule for JSGF (first public rule is default)
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.TP
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.B \-transform
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Which type of transform to use to calculate cepstra (legacy, dct, or htk)
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.TP
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.B \-unit_area
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Normalize mel filters to unit area
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.TP
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.B \-upperf
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Upper edge of filters
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.TP
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.B \-uw
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Unigram weight
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.TP
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.B \-vad_postspeech
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Num of silence frames to keep after from speech to silence.
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.TP
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.B \-vad_prespeech
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Num of speech frames to keep before silence to speech.
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.TP
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.B \-vad_startspeech
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Num of speech frames to trigger vad from silence to speech.
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.TP
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.B \-vad_threshold
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Threshold for decision between noise and silence frames. Log-ratio between signal level and noise level.
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.TP
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.B \-var
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gaussian variances input file
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.TP
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.B \-varfloor
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Mixture gaussian variance floor (applied to data from \fB\-var\fR file)
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.TP
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.B \-varnorm
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Variance normalize each utterance (only if CMN == current)
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.TP
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.B \-verbose
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Show input filenames
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.TP
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.B \-warp_params
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defining the warping function
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.TP
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.B \-warp_type
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Warping function type (or shape)
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.TP
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.B \-wbeam
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Beam width applied to word exits
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.TP
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.B \-wip
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Word insertion penalty
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.TP
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.B \-wlen
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Hamming window length
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.SH AUTHOR
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Written by numerous people at CMU from 1994 onwards. This manual page
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by David Huggins-Daines <dhuggins@cs.cmu.edu>
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.SH COPYRIGHT
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Copyright \(co 1994-2016 Carnegie Mellon University. See the file
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\fILICENSE\fR included with this package for more information.
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.br
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.SH "SEE ALSO"
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.BR pocketsphinx_batch (1),
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.BR sphinx_fe (1).
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.br
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