mlib_SignalMelCepstral_F32 man page on SunOS

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mlib_SignalMelCepstral_F32mediaLib Library Fumlib_SignalMelCepstral_F32(3MLIB)

NAME
       mlib_SignalMelCepstral_F32 - perform cepstral analysis in mel frequency
       scale

SYNOPSIS
       cc [ flag... ] file... -lmlib [ library... ]
       #include <mlib.h>

       mlib_status mlib_SignalMelCepstral_F32(mlib_f32 *cepst,
	   const mlib_f32 *signal, void *state);

DESCRIPTION
       The mlib_SignalMelCepstral_F32() function performs cepstral analysis in
       mel frequency scale.

       The  first  two	steps of mel scale cepstral analysis is the same as in
       general cepstral anaysis. After the logarithm of the spectrum magnitude
       is  obtained,  it  is  converted	 into  mel  frequency scale before the
       inverse Fourier transform.

		    +-----------+	 +-----------+
		   |  Linear   |	|  Inverse  |
	 ... ------>|	 to	|------->|  Fourier  |----->
	     X'(k) | Mel Scale | X''(m) | Transform | c(n)
		   +-----------+	+-----------+

       where X'(k) is defined in linear frequency scale and X''(m) is  defined
       in mel frequency scale.

       The mel frequency scale is defined as following.

	 freq_mel = melmul * LOG10(1 + freq_linear / meldiv)

       where  freq_mel	is the frequency in mel scale, freq_linear is the fre‐
       quency in linear scale, melmul is the multiplying factor, muldiv is the
       dividing factor.

       Optionally,  a  bank of band pass filters in linear frequency scale can
       be used below the bank of band pass filters in mel frequency scale,  as
       shown below in linear frequency scale.

	 0   f1	 f2  f3	   fp  fp+1 fp+2  fp+3	fp+q
	 |---|---|---| ... |---|----|-----| ... | ... -> freq

       where  fp  =  melbgn, fp+q = melend, p = nlinear, q = nmel; the filters
       number 1 to p are defined in linear frequency scale  which  have	 equal
       bandwidth  in linear frequency scale; the filters number p+1 to p+q are
       defined in mel frequency scale which have equal bandwidth in  mel  fre‐
       quency scale and increasing bandwidth in linear frequency scale.

       See  Digital  Signal  Processing	 by  Alan  V.  Oppenheim and Ronald W.
       Schafer, Prentice Hall, 1974.

       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.

       signal	 The input signal vector.

       state	 Pointer to the internal state structure.

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_SignalMelCepstralInit_F32(3MLIB),	       mlib_SignalMelCepstral‐
       Free_F32(3MLIB), attributes(5)

SunOS 5.10			  2 Mar 2007 mlib_SignalMelCepstral_F32(3MLIB)
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