mlib_SignalLPC2Cepstral_F32(3MLIB)

Name

mlib_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 also

mlib_SignalLPC2Cepstral_S16(3MLIB), mlib_SignalLPC2Cepstral_S16_Adp(3MLIB), mlib_SignalLPC2Cepstral_F32(3MLIB), attributes(5)