mlib_SignalMelCepstral_S16 man page on SunOS

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mlib_SignalMelCepstral_S16mediaLib Library Fumlib_SignalMelCepstral_S16(3MLIB)

NAME
       mlib_SignalMelCepstral_S16 - perform cepstral analysis in mel frequency
       scale

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

       mlib_status mlib_SignalMelCepstral_S16(mlib_s16 *cepst,
	   mlib_s32 cscale, const mlib_s16 *signal, void *state);

DESCRIPTION
       The mlib_SignalMelCepstral_S16() function performs cepstral analysis in
       mel  frequency scale. The user supplied scaling factor will be used and
       the output will be saturated if necessary.

       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.

       cscale	 The  scaling	factor	 of   cepstral	 coefficients,	 where
		 actual_data = output_data * 2**(-scaling_factor).

       signal	 The  input  signal vector, the signal samples are in Q15 for‐
		 mat.

       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_S16(3MLIB),		    mlib_SignalMelCep‐
       stral_S16_Adp(3MLIB),		mlib_SignalMelCepstralFree_S16(3MLIB),
       attributes(5)

SunOS 5.10			  2 Mar 2007 mlib_SignalMelCepstral_S16(3MLIB)
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