mlib_SignalLPC2Cepstral_F3mediaLib Library Fmlib_SignalLPC2Cepstral_F32(3MLIB)NAMEmlib_SignalLPC2Cepstral_F32 - convert linear prediction coefficients to
cepstral coefficients
SYNOPSIS
cc [ flag... ] file... -lmlib [ library... ]
#include <mlib.h>
mlib_status mlib_SignalLPC2Cepstral_F32(mlib_f32 *cepst,
const mlib_f32 *lpc, mlib_f32 gain, mlib_s32 length,
mlib_s32 order);
DESCRIPTION
The mlib_SignalLPC2Cepstral_F32() function converts linear prediction
coefficients to cepstral coefficients.
The cepstral coefficients are the coefficients of the Fourier transform
representation of the log magnitude spectrum.
The LPC cepstral coefficients can be derived recursively from the LPC
coefficients as following.
c(0) = log(G)
m-1 k
c(m) = a(m) + SUM --- * c(k) * a(m-k), 1 ≤ m ≤ M
k=1 m
m-1 k
c(m) = SUM --- * c(k) * a(m-k), m > M
k=1 m
See Fundamentals of Speech Recognition by Lawrence Rabiner and Biing-
Hwang Juang, Prentice Hall, 1993.
PARAMETERS
The function takes the following arguments:
cepst The cepstral coefficients.
lpc The linear prediction coefficients.
gain The gain of the LPC model.
length The length of the cepstral coefficients.
order The order of the linear prediction filter.
RETURN VALUES
The function returns MLIB_SUCCESS if successful. Otherwise it returns
MLIB_FAILURE.
ATTRIBUTES
See attributes(5) for descriptions of the following attributes:
┌─────────────────────────────┬─────────────────────────────┐
│ ATTRIBUTE TYPE │ ATTRIBUTE VALUE │
├─────────────────────────────┼─────────────────────────────┤
│Interface Stability │Committed │
├─────────────────────────────┼─────────────────────────────┤
│MT-Level │MT-Safe │
└─────────────────────────────┴─────────────────────────────┘
SEE ALSOmlib_SignalLPC2Cepstral_S16(3MLIB), mlib_SignalLPC2Cep‐
stral_S16_Adp(3MLIB), mlib_SignalLPC2Cepstral_F32(3MLIB), attributes(5)SunOS 5.10 2 Mar 2007mlib_SignalLPC2Cepstral_F32(3MLIB)
