Provided by: pocketsphinx_0.8.0+real5prealpha+1-6ubuntu4_amd64 
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)