# mlib_signalmelcepstral_s16_adp(3mlib) [sunos man page]

mlib_SignalMelCepstral_S16_Adp(3MLIB) mediaLib Library Functions mlib_SignalMelCepstral_S16_Adp(3MLIB)NAME

mlib_SignalMelCepstral_S16_Adp - perform cepstral analysis in mel frequency scaleSYNOPSIS

cc [ flag... ] file...[ library... ] #include <mlib.h> mlib_status mlib_SignalMelCepstral_S16_Adp(mlib_s16 *cepst, mlib_s32 *cscale, const mlib_s16 *signal, void *state);-lmlibDESCRIPTION

The mlib_SignalMelCepstral_S16_Adp() function performs cepstral analysis in mel frequency scale. The scaling factor of the output data will be calculated based on the actual data. The first two steps of mel scale cepstral analysis is the same as in general cepstral anaysis. After the logarithm of the spectrum magni- tude 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 frequency 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 frequency 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 format. 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 |Evolving | +-----------------------------+-----------------------------+ |MT-Level |MT-Safe | +-----------------------------+-----------------------------+SEE ALSO

mlib_SignalMelCepstralInit_S16(3MLIB), mlib_SignalMelCepstral_S16(3MLIB), mlib_SignalMelCepstralFree_S16(3MLIB), attributes(5)SunOS 5.1010 Nov 2004 mlib_SignalMelCepstral_S16_Adp(3MLIB)

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mlib_SignalMelCepstral_F32(3MLIB) mediaLib Library Functions mlib_SignalMelCepstral_F32(3MLIB)NAME

mlib_SignalMelCepstral_F32 - perform cepstral analysis in mel frequency scaleSYNOPSIS

cc [ flag... ] file...[ library... ] #include <mlib.h> mlib_status mlib_SignalMelCepstral_F32(mlib_f32 *cepst, const mlib_f32 *signal, void *state);-lmlibDESCRIPTION

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 magni- tude 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 frequency 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 frequency 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 |Evolving | +-----------------------------+-----------------------------+ |MT-Level |MT-Safe | +-----------------------------+-----------------------------+SEE ALSO

mlib_SignalMelCepstralInit_F32(3MLIB), mlib_SignalMelCepstralFree_F32(3MLIB), attributes(5)SunOS 5.1010 Nov 2004 mlib_SignalMelCepstral_F32(3MLIB)