Provided by: pocketsphinx_0.8.0+real5prealpha+1-15ubuntu5_amd64 bug

NAME

       pocketsphinx_batch - Run speech recognition in batch mode

SYNOPSIS

       pocketsphinx_batch -ctl ctlfile -cepdir cepdir -cepext .mfc [ 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

       -lmname
              language model in -lmctl to use by default

       -lmnamectl
              file listing LM name to use for each utterance

       -logbase
              Base in which all log-likelihoods calculated

       -logfn to write log messages in

       -logspec
              Write out logspectral files instead of cepstra

       -lowerf
              Lower edge of filters

       -lpbeam
              Beam width applied to last phone in words

       -lponlybeam
              Beam width applied to last phone in single-phone words

       -lw    Language model probability weight

       -maxhmmpf
              Maximum number of active HMMs to maintain at each frame (or -1 for no pruning)

       -maxwpf
              Maximum number of distinct word exits at each frame (or -1 for no pruning)

       -mdef  definition input file

       -mean  gaussian means input file

       -mfclogdir
              to log feature files to

       -min_endfr
              Nodes ignored in lattice construction if they persist for fewer than N frames

       -mixw  mixture weights input file (uncompressed)

       -mixwfloor
              Senone mixture weights floor (applied to data from -mixw file)

       -mllr  transformation to apply to means and variances

       -mllrctl
              file listing MLLR transforms to use for each utterance

       -mllrdir
              directory for MLLR transforms

       -mllrext
              extension for MLLR transforms (including leading dot)

       -mmap  Use memory-mapped I/O (if possible) for model files

       -nbest Number of N-best hypotheses to write to -nbestdir (0 for no N-best)

       -nbestdir
              for writing N-best hypothesis lists

       -nbestext
              Extension for N-best hypothesis list files

       -ncep  Number of cep coefficients

       -nfft  Size of FFT

       -nfilt Number of filter banks

       -nwpen New word transition penalty

       -outlatbeam
              Minimum posterior probability for output lattice nodes

       -outlatdir
              for dumping word lattices

       -outlatext
              Filename extension for dumping word lattices

       -outlatfmt
              Format for dumping word lattices (s3 or htk)

       -pbeam Beam width applied to phone transitions

       -pip   Phone insertion penalty

       -pl_beam
              Beam width applied to phone loop search for lookahead

       -pl_pbeam
              Beam width applied to phone loop transitions for lookahead

       -pl_pip
              Phone insertion penalty for phone loop

       -pl_weight
              Weight for phoneme lookahead penalties

       -pl_window
              Phoneme lookahead window size, in frames

       -rawlogdir
              to log raw audio files to

       -remove_dc
              Remove DC offset from each frame

       -remove_noise
              Remove noise with spectral subtraction in mel-energies

       -remove_silence
              Enables VAD, removes silence frames from processing

       -round_filters
              Round mel filter frequencies to DFT points

       -samprate
              Sampling rate

       -seed  Seed for random number generator; if less than zero, pick our own

       -sendump
              dump (compressed mixture weights) input file

       -senin Input is senone score dump files

       -senlogdir
              to log senone score files to

       -senmgau
              to codebook mapping input file (usually not needed)

       -silprob
              Silence word transition probability

       -smoothspec
              Write out cepstral-smoothed logspectral files

       -svspec
              specification (e.g., 24,0-11/25,12-23/26-38 or 0-12/13-25/26-38)

       -tmat  state transition matrix input file

       -tmatfloor
              HMM state transition probability floor (applied to -tmat file)

       -topn  Maximum number of top Gaussians to use in scoring.

       -topn_beam
              Beam width used to determine top-N Gaussians (or a list, per-feature)

       -toprule
              rule for JSGF (first public rule is default)

       -transform
              Which type of transform to use to calculate cepstra (legacy, dct, or htk)

       -unit_area
              Normalize mel filters to unit area

       -upperf
              Upper edge of filters

       -uw    Unigram weight

       -vad_postspeech
              Num of silence frames to keep after from speech to silence.

       -vad_prespeech
              Num of speech frames to keep before silence to speech.

       -vad_startspeech
              Num of speech frames to trigger vad from silence to speech.

       -vad_threshold
              Threshold for decision between noise and silence frames. Log-ratio  between  signal
              level and noise level.

       -var   gaussian variances input file

       -varfloor
              Mixture gaussian variance floor (applied to data from -var file)

       -varnorm
              Variance normalize each utterance (only if CMN == current)

       -verbose
              Show input filenames

       -warp_params
              defining the warping function

       -warp_type
              Warping function type (or shape)

       -wbeam Beam width applied to word exits

       -wip   Word insertion penalty

       -wlen  Hamming window length

       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 © 1994-2016 Carnegie Mellon University.  See the file LICENSE included with this
       package for more information.

SEE ALSO

       pocketsphinx_continuous(1), sphinx_fe(1).

                                            2007-08-27                      POCKETSPHINX_BATCH(1)