Run speech recognition in continuous listening mode
pocketsphinx_continuous -hmm hmmdir -dict dictfile [ options ]...
This program opens the audio device and waits for speech. When it detects an utterance, it performs speech recognition on it.
-adcdev
name for audio input (platform-specific)
-adchdr
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 'none')
-agcthresh
Initial threshold for automatic gain control
-allphone
Do phoneme recognition
-alpha
Preemphasis parameter
-backtrace
Print back trace of recognition results
-beam
Beam width applied to every frame in Viterbi search (smaller values mean wider beam)
-bestpath
Run bestpath (Dijkstra) search over word lattice (3rd pass)
-bestpathlw
Language model probability weight for bestpath search
-cachesen
Cache senone scores from first pass search
-cep2spec
Input is cepstral files, output is log spectral files
-cepdir
files directory (prefixed to filespecs in control file)
-cepext
Input files extension (prefixed to filespecs in control file)
-ceplen
Number of components in the input feature vector
-cmn
Cepstral mean normalization scheme ('current', 'prior', or 'none')
-cmninit
Initial values (comma-separated) for cepstral mean when 'prior' is used
-compallsen
Compute all senone scores in every frame (can be faster when there are many senones)
-ctl
file listing utterances to be processed
-ctlcount
No. of utterances to be processed (after skipping -ctloffset entries)
-ctlincr
Do every Nth line in the control file
-ctloffset
No. of utterances at the beginning of -ctl file to be skipped
-dict
pronunciation dictionary (lexicon) input file
-dither
Add 1/2-bit noise
-doublebw
Use double bandwidth filters (same center freq)
-dsratio
Frame GMM computation downsampling ratio
-fbtype
FB Type of mel_scale or log_linear
-fdict
word pronunciation dictionary input file
-feat
Feature stream type, depends on the acoustic model
-fillpen
Filler word transition penalty
-frate
Frame rate
-fsg
state grammar
-fsgbfs
Force backtrace from FSG final state
-fsgctlfn
finite state grammar control file
-fsgusealtpron
Use alternative pronunciations for FSG
-fsgusefiller
(FSG Mode (Mode 2) only) Insert filler words at each state.
-fwd3g
Use trigrams in first pass search
-fwdflat
Run forward flat-lexicon search over word lattice (2nd pass)
-fwdflatbeam
Beam width applied to every frame in second-pass flat search
-fwdflatefwid
Minimum number of end frames for a word to be searched in fwdflat search
-fwdflatlw
Language model probability weight for flat lexicon (2nd pass) decoding
-fwdflatsfwin
Window of frames in lattice to search for successor words in fwdflat search
-fwdflatwbeam
Beam width applied to word exits in second-pass flat search
-fwdtree
Run forward lexicon-tree search (1st pass)
-hmm
containing acoustic model files.
-hyp
output file name
-hypseg
output with segmentation file name
-input_endian
Endianness of input data, big or little, ignored if NIST or MS Wav
-kdmaxbbi
Maximum number of Gaussians per leaf node in kd-Trees
-kdmaxdepth
Maximum depth of kd-Trees to use
-kdtree
file for Gaussian selection
-latsize
Lattice size
-lifter
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 <[email protected]>
Copyright © 1994-2007 Carnegie Mellon University. See the file COPYING included with this package for more information.
pocketsphinx_batch(1), sphinx_fe(1).