Manual Pages for UNIX Operating System command usage for man mlib_SignalLPC2Cepstral_S16

mediaLib Library Functions     mlib_SignalLPC2Cepstral_S16(3MLIB)



NAME
     mlib_SignalLPC2Cepstral_S16  -  convert  linear   prediction
     coefficients to cepstral coefficients

SYNOPSIS
     cc [ flag... ] file... -lmlib [ library... ]
     #include 

     mlib_status mlib_SignalLPC2Cepstral_S16(mlib_s16 *cepst,
          mlib_s32 cscale, const mlib_s16 *lpc, mlib_s32 lscale,
          mlib_s16 gain, mlib_s32 gscale, mlib_s32 length,
          mlib_s32 order);


DESCRIPTION
     The mlib_SignalLPC2Cepstral_S16() function  converts  linear
     prediction  coefficients  to cepstral coefficients. The user
     supplied scaling factor, cscale, will be used and the output
     will be saturated if necessary.


     The  cepstral  coefficients  are  the  coefficients  of  the
     Fourier  transform representation of the log magnitude spec-
     trum.


     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.


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



SunOS 5.11           Last change: 2 Mar 2007                    1






mediaLib Library Functions     mlib_SignalLPC2Cepstral_S16(3MLIB)



               scaling_factor).


     lpc       The linear prediction coefficients.


     lscale    The scaling factor of the linear prediction  coef-
               ficients,  where  actual_data = input_data * 2**(-
               scaling_factor).


     gain      The gain of the LPC model.


     gscale    The scaling factor of the gain of the  LPC  model,
               where    actual_data    =   input_data   *   2**(-
               scaling_factor).


     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  attri-
     butes:



     ____________________________________________________________
    |       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)







SunOS 5.11           Last change: 2 Mar 2007                    2