Provided by: pocketsphinx_0.8.0+real5prealpha-1ubuntu2_amd64 bug


       pocketsphinx_continuous - 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.

              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')

              Initial threshold for automatic gain control

              phoneme decoding with phonetic lm

              Perform phoneme decoding with phonetic lm and context-independent units only

       -alpha Preemphasis parameter

              file giving extra arguments.

              Inverse of acoustic model scale for confidence score calculation

       -aw    Inverse weight applied to acoustic scores.

              Print results and backtraces to log file.

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

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

              Language model probability weight for bestpath search

              Create missing subdirectories in output directory

              files directory (prefixed to filespecs in control file)

              Input files extension (suffixed to filespecs in control file)

              Number of components in the input feature vector

       -cmn   Cepstral mean normalization scheme ('current', 'prior', or 'none')

              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

       -ctl   file listing utterances to be processed

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

              Do every Nth line in the control file

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

       -ctm   output in CTM file format (may require post-sorting)

       -debug level for debugging messages

       -dict  pronunciation dictionary (lexicon) input file

              Dictionary is case sensitive (NOTE: case insensitivity applies to ASCII  characters

              Add 1/2-bit noise

              Use double bandwidth filters (same center freq)

       -ds    Frame GMM computation downsampling ratio

       -fdict word pronunciation dictionary input file

       -feat  Feature stream type, depends on the acoustic model

              containing feature extraction parameters.

              Filler word transition probability

       -frate Frame rate

       -fsg   format finite state grammar file

              file listing FSG file to use for each utterance

              directory for FSG files

              extension for FSG files (including leading dot)

              Add alternate pronunciations to FSG

              Insert filler words at each state.

              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 fwdflat search

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

              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 Wav

       -jsgf  grammar file

              to spot

       -kws   file with keyphrases to spot, one per line

              Delay to wait for best detection score

              Phone loop probability for keyword spotting

              Threshold for p(hyp)/p(alternatives) ratio

              Initial backpointer table size

       -lda   containing  transformation matrix to be applied to features (single-stream features

              Dimensionality of output of feature transformation (0 to use entire matrix)

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

       -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 © 1994-2007 Carnegie Mellon University.  See the file COPYING included with this
       package for more information.


       pocketsphinx_batch(1), sphinx_fe(1).

                                            2007-08-27                 POCKETSPHINX_CONTINUOUS(1)