234 lines
5.1 KiB
Groff
234 lines
5.1 KiB
Groff
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.TH POCKETSPHINX_CONTINUOUS 1 "2007-08-27"
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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\-hmm\fR
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\fIhmmdir\fR
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\fB\-dict\fR
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\fIdictfile\fR
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[\fI options \fR]...
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.SH DESCRIPTION
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.PP
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This program opens the audio device and waits for speech. When it
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detects an utterance, it performs speech recognition on it.
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.TP
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.B \-adchdr
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Size of audio file header in bytes (headers are ignored)
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.TP
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.B \-adcin
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Input is raw audio data
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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 \-build_outdirs
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Create missing subdirectories in output directory
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.TP
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.B \-cepdir
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files directory (prefixed to filespecs in control file)
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.TP
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.B \-cepext
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Input files extension (suffixed to filespecs in control file)
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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 \-ctl
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file listing utterances to be processed
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.TP
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.B \-ctlcount
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No. of utterances to be processed (after skipping \fB\-ctloffset\fR entries)
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.TP
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.B \-ctlincr
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Do every Nth line in the control file
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.TP
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.B \-ctloffset
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No. of utterances at the beginning of \fB\-ctl\fR file to be skipped
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.TP
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.B \-ctm
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output in CTM file format (may require post-sorting)
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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 \-fsgctl
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file listing FSG file to use for each utterance
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.TP
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.B \-fsgdir
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directory for FSG files
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.TP
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.B \-fsgext
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extension for FSG files (including leading dot)
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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 \-hyp
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output file name
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.TP
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.B \-hypseg
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output with segmentation file name
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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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.PP
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The
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.B \-hmm
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and
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.B \-dict
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arguments are always required. Either
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.B \-lm
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or
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.B \-fsg
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is required, depending on whether you are using a statistical language
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model or a finite-state grammar.
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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 1994-2007 Carnegie Mellon University. See the file
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\fICOPYING\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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