NAME

       pocketsphinx_batch - Run speech recognition in batch mode

SYNOPSIS

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

DESCRIPTION

       Run  speech  recognition  over  a  list  of  utterances in batchmode.  A list of arguments
       follows:

       -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
              phoneme decoding with phonetic lm

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

       -alpha Preemphasis parameter

       -argfile
              file giving extra arguments.

       -ascale
              Inverse of acoustic model scale for confidence score calculation

       -aw    Inverse weight applied to acoustic scores.

       -backtrace
              Print results and backtraces to log file.

       -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

       -build_outdirs
              Create missing subdirectories in output directory

       -cepdir
              files directory (prefixed to filespecs in control file)

       -cepext
              Input files extension (suffixed 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

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

       -debug level for debugging messages

       -dict  pronunciation dictionary (lexicon) input file

       -dictcase
              Dictionary is case sensitive (NOTE: case insensitivity applies to ASCII  characters
              only)

       -dither
              Add 1/2-bit noise

       -doublebw
              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

       -featparams
              containing feature extraction parameters.

       -fillprob
              Filler word transition probability

       -frate Frame rate

       -fsg   format finite state grammar file

       -fsgctl
              file listing FSG file to use for each utterance

       -fsgdir
              directory for FSG files

       -fsgext
              extension for FSG files (including leading dot)

       -fsgusealtpron
              Add alternate pronunciations to FSG

       -fsgusefiller
              Insert filler words at each state.

       -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

       -jsgf  grammar file

       -keyphrase
              to spot

       -kws   file with keyphrases to spot, one per line

       -kws_delay
              Delay to wait for best detection score

       -kws_plp
              Phone loop probability for keyword spotting

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

       -latsize
              Initial backpointer table size

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

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

       -lifter
              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.
       To do batchmode recognition, you will need to specify a control file, using -ctl This is a
       simple  text  file containing one entry per line.  Each entry is the name of an input file
       relative to the -cepdir directory, and without the filename extension (which is  given  in
       the -cepext argument).

       If  you are using acoustic feature files as input (see sphinx_fe(1) for information on how
       to generate these), you can also specify a subpart of a file, using the following format:

              FILENAME START-FRAME END-FRAME UTTERANCE-ID

AUTHOR

       Written by numerous people at CMU from 1994 onwards.  This manual page by  David  Huggins-
       Daines <dhuggins@cs.cmu.edu>

COPYRIGHT

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

SEE ALSO

       pocketsphinx_continuous(1), sphinx_fe(1).

                                            2007-08-27                      POCKETSPHINX_BATCH(1)