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       pocketsphinx_continuous	- Run speech recognition in continuous listen-
       ing mode

       pocketsphinx_continuous -hmm hmmdir -dict dictfile [ options ]...

       This program opens the audio device and waits for speech.  When it  de-
       tects an	utterance, it performs speech recognition on it.

	      name for audio input (platform-specific)

	      Size of audio file header	in bytes (headers are ignored)

       -adcin Input is raw audio data

       -agc   Automatic	 gain  control	for  c0	 ('max',  'emax',  'noise', or

	      Initial threshold	for automatic gain control

	      Do phoneme recognition

       -alpha Preemphasis parameter

	      Print back trace of recognition results

       -beam  Beam width applied to every frame	 in  Viterbi  search  (smaller
	      values mean wider	beam)

	      Run bestpath (Dijkstra) search over word lattice (3rd pass)

	      Language model probability weight	for bestpath search

	      Cache senone scores from first pass search

	      Input is cepstral	files, output is log spectral files

	      files directory (prefixed	to filespecs in	control	file)

	      Input files extension (prefixed to filespecs in control file)

	      Number of	components in the input	feature	vector

       -cmn   Cepstral	mean  normalization  scheme  ('current',  'prior',  or

	      Initial values (comma-separated) for cepstral mean when  'prior'
	      is used

	      Compute  all  senone  scores  in every frame (can	be faster when
	      there are	many senones)

       -ctl   file listing utterances to be processed

	      No. of utterances	to be processed	(after skipping	-ctloffset en-

	      Do every Nth line	in the control file

	      No. of utterances	at the beginning of -ctl file to be skipped

       -dict  pronunciation dictionary (lexicon) input file

	      Add 1/2-bit noise

	      Use double bandwidth filters (same center	freq)

	      Frame GMM	computation downsampling ratio

	      FB Type of mel_scale or log_linear

       -fdict word pronunciation dictionary input file

       -feat  Feature stream type, depends on the acoustic model

	      Filler word transition penalty

       -frate Frame rate

       -fsg   state grammar

	      Force backtrace from FSG final state

	      finite state grammar control file

	      Use alternative pronunciations for FSG

	      (FSG Mode	(Mode 2) only) Insert filler words at each state.

       -fwd3g Use trigrams in first pass search

	      Run forward flat-lexicon search over word	lattice	(2nd pass)

	      Beam width applied to every frame	in second-pass flat search

	      Minimum  number  of end frames for a word	to be searched in fwd-
	      flat search

	      Language model probability weight	for flat  lexicon  (2nd	 pass)

	      Window  of  frames  in  lattice to search	for successor words in
	      fwdflat search

	      Beam width applied to word exits in second-pass flat search

	      Run forward lexicon-tree search (1st pass)

       -hmm   containing acoustic model	files.

       -hyp   output file name

	      output with segmentation file name

	      Endianness of input data,	big or little, ignored if NIST	or  MS

	      Maximum number of	Gaussians per leaf node	in kd-Trees

	      Maximum depth of kd-Trees	to use

	      file for Gaussian	selection

	      Lattice size

	      Length of	sin-curve for liftering, or 0 for no liftering.

       -live  Get input	from audio hardware

       -lm    trigram language model input file

       -lmctl a	set of language	model

       The  -hmm  and -dict arguments are always required.  Either -lm or -fsg
       is required, depending on whether you are using a statistical  language
       model or	a finite-state grammar.

       Written	by numerous people at CMU from 1994 onwards.  This manual page
       by David	Huggins-Daines <>

       Copyright (C) 1994-2007 Carnegie	Mellon University.  See	the file COPY-
       ING included with this package for more information.

       pocketsphinx_batch(1), sphinx_fe(1).

				  2007-08-27	    POCKETSPHINX_CONTINUOUS(1)


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