Provided by: sphinxbase-utils_0.8+5prealpha+1-1_amd64 
NAME
sphinx_fe - Convert audio files to acoustic feature files
SYNOPSIS
sphinx_fe [ options ]...
DESCRIPTION
This program converts audio files (in either Microsoft WAV, NIST Sphere, or raw format) to acoustic
feature files for input to batch-mode speech recognition. The resulting files are also useful for
various other things. A list of options follows:
-alpha Preemphasis parameter
-argfile
file (e.g. feat.params from an acoustic model) to read parameters from. This will override
anything set in other command line arguments.
-blocksize
Number of samples to read at a time.
-build_outdirs
Create missing subdirectories in output directory
-c file for batch processing
-cep2spec
Input is cepstral files, output is log spectral files
-di directory, input file names are relative to this, if defined
-dither
Add 1/2-bit noise
-do directory, output files are relative to this
-doublebw
Use double bandwidth filters (same center freq)
-ei extension to be applied to all input files
-eo extension to be applied to all output files
-example
Shows example of how to use the tool
-frate Frame rate
-help Shows the usage of the tool
-i audio input file
-input_endian
Endianness of input data, big or little, ignored if NIST or MS Wav
-lifter
Length of sin-curve for liftering, or 0 for no liftering.
-logspec
Write out logspectral files instead of cepstra
-lowerf
Lower edge of filters
-mach_endian
Endianness of machine, big or little
-mswav Defines input format as Microsoft Wav (RIFF)
-ncep Number of cep coefficients
-nchans
Number of channels of data (interlaced samples assumed)
-nfft Size of FFT
-nfilt Number of filter banks
-nist Defines input format as NIST sphere
-npart Number of parts to run in (supersedes -nskip and -runlen if non-zero)
-nskip If a control file was specified, the number of utterances to skip at the head of the file
-o cepstral output file
-ofmt Format of output files - one of sphinx, htk, text.
-part Index of the part to run (supersedes -nskip and -runlen if non-zero)
-raw Defines input format as raw binary data
-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
-runlen
If a control file was specified, the number of utterances to process, or -1 for all
-samprate
Sampling rate
-seed Seed for random number generator; if less than zero, pick our own
-smoothspec
Write out cepstral-smoothed logspectral files
-spec2cep
Input is log spectral files, output is cepstral files
-sph2pipe
Input is NIST sphere (possibly with Shorten), use sph2pipe to convert
-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
-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.
-verbose
Show input filenames
-warp_params
defining the warping function
-warp_type
Warping function type (or shape)
-whichchan
Channel to process (numbered from 1), or 0 to mix all channels
-wlen Hamming window length
Currently the only kind of features supported are MFCCs (mel-frequency cepstral coefficients). There are
numerous options which control the properties of the output features. It is VERY important that you
document the specific set of flags used to create any given set of feature files, since this information
is NOT recorded in the files themselves, and any mismatch between the parameters used to extract features
for recognition and those used to extract features for training will cause recognition to fail.
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.
2007-08-27 SPHINX_FE(1)