MFCC Q15

riscv_status riscv_mfcc_init_q15(riscv_mfcc_instance_q15 *S, uint32_t fftLen, uint32_t nbMelFilters, uint32_t nbDctOutputs, const q15_t *dctCoefs, const uint32_t *filterPos, const uint32_t *filterLengths, const q15_t *filterCoefs, const q15_t *windowCoefs)

MFCC_INIT_Q15 (32)

MFCC_INIT_Q15 (64)

MFCC_INIT_Q15 (128)

MFCC_INIT_Q15 (256)

MFCC_INIT_Q15 (512)

MFCC_INIT_Q15 (1024)

MFCC_INIT_Q15 (2048)

MFCC_INIT_Q15 (4096)

riscv_status riscv_mfcc_q15(const riscv_mfcc_instance_q15 *S, q15_t *pSrc, q15_t *pDst, q31_t *pTmp)

MFCC_INIT_Q15(LEN)

group MFCCQ15

Defines

MFCC_INIT_Q15(LEN)

Functions

riscv_status riscv_mfcc_init_q15(riscv_mfcc_instance_q15 *S, uint32_t fftLen, uint32_t nbMelFilters, uint32_t nbDctOutputs, const q15_t *dctCoefs, const uint32_t *filterPos, const uint32_t *filterLengths, const q15_t *filterCoefs, const q15_t *windowCoefs)

Generic initialization of the MFCC Q15 instance structure.

window coefficients can describe (for instance) a Hamming window. The array has the same size as the FFT length.

Description: The matrix of Mel filter coefficients is sparse. Most of the coefficients are zero. To avoid multiplying the spectrogram by those zeros, the filter is applied only to a given position in the spectrogram and on a given number of FFT bins (the filter length). It is the reason for the arrays filterPos and filterLengths.

The folder Scripts is containing a Python script which can be used to generate the filter, dct and window arrays.

: This function should be used only if you don’t know the FFT sizes that you’ll need at build time. The use of this function will prevent the linker from removing the FFT tables that are not needed and the library code size will be bigger than needed.
: If you use NMSIS-DSP as a static library, and if you know the MFCC sizes that you need at build time, then it is better to use the initialization functions defined for each MFCC size.

Parameters

S – [out] points to the mfcc instance structure
fftLen – [in] fft length
nbMelFilters – [in] number of Mel filters
nbDctOutputs – [in] number of Dct outputs
dctCoefs – [in] points to an array of DCT coefficients
filterPos – [in] points of the array of filter positions
filterLengths – [in] points to the array of filter lengths
filterCoefs – [in] points to the array of filter coefficients
windowCoefs – [in] points to the array of window coefficients

Returns

error status

MFCC_INIT_Q15 (32)

Initialization of the MFCC Q15 instance structure for 32 samples MFCC.

window coefficients can describe (for instance) a Hamming window. The array has the same size as the FFT length.

Description: The matrix of Mel filter coefficients is sparse. Most of the coefficients are zero. To avoid multiplying the spectrogram by those zeros, the filter is applied only to a given position in the spectrogram and on a given number of FFT bins (the filter length). It is the reason for the arrays filterPos and filterLengths.

The folder Scripts is containing a Python script which can be used to generate the filter, dct and window arrays.

Parameters

S – [out] points to the mfcc instance structure
nbMelFilters – [in] number of Mel filters
nbDctOutputs – [in] number of Dct outputs
dctCoefs – [in] points to an array of DCT coefficients
filterPos – [in] points of the array of filter positions
filterLengths – [in] points to the array of filter lengths
filterCoefs – [in] points to the array of filter coefficients
windowCoefs – [in] points to the array of window coefficients

Returns

error status

MFCC_INIT_Q15 (64)

Initialization of the MFCC Q15 instance structure for 64 samples MFCC.

window coefficients can describe (for instance) a Hamming window. The array has the same size as the FFT length.

Description: The matrix of Mel filter coefficients is sparse. Most of the coefficients are zero. To avoid multiplying the spectrogram by those zeros, the filter is applied only to a given position in the spectrogram and on a given number of FFT bins (the filter length). It is the reason for the arrays filterPos and filterLengths.

The folder Scripts is containing a Python script which can be used to generate the filter, dct and window arrays.

Parameters

S – [out] points to the mfcc instance structure
nbMelFilters – [in] number of Mel filters
nbDctOutputs – [in] number of Dct outputs
dctCoefs – [in] points to an array of DCT coefficients
filterPos – [in] points of the array of filter positions
filterLengths – [in] points to the array of filter lengths
filterCoefs – [in] points to the array of filter coefficients
windowCoefs – [in] points to the array of window coefficients

Returns

error status

MFCC_INIT_Q15 (128)

Initialization of the MFCC Q15 instance structure for 128 samples MFCC.

window coefficients can describe (for instance) a Hamming window. The array has the same size as the FFT length.

Description: The matrix of Mel filter coefficients is sparse. Most of the coefficients are zero. To avoid multiplying the spectrogram by those zeros, the filter is applied only to a given position in the spectrogram and on a given number of FFT bins (the filter length). It is the reason for the arrays filterPos and filterLengths.

The folder Scripts is containing a Python script which can be used to generate the filter, dct and window arrays.

Parameters

S – [out] points to the mfcc instance structure
nbMelFilters – [in] number of Mel filters
nbDctOutputs – [in] number of Dct outputs
dctCoefs – [in] points to an array of DCT coefficients
filterPos – [in] points of the array of filter positions
filterLengths – [in] points to the array of filter lengths
filterCoefs – [in] points to the array of filter coefficients
windowCoefs – [in] points to the array of window coefficients

Returns

error status

MFCC_INIT_Q15 (256)

Initialization of the MFCC Q15 instance structure for 256 samples MFCC.

window coefficients can describe (for instance) a Hamming window. The array has the same size as the FFT length.

Description: The matrix of Mel filter coefficients is sparse. Most of the coefficients are zero. To avoid multiplying the spectrogram by those zeros, the filter is applied only to a given position in the spectrogram and on a given number of FFT bins (the filter length). It is the reason for the arrays filterPos and filterLengths.

The folder Scripts is containing a Python script which can be used to generate the filter, dct and window arrays.

Parameters

S – [out] points to the mfcc instance structure
nbMelFilters – [in] number of Mel filters
nbDctOutputs – [in] number of Dct outputs
dctCoefs – [in] points to an array of DCT coefficients
filterPos – [in] points of the array of filter positions
filterLengths – [in] points to the array of filter lengths
filterCoefs – [in] points to the array of filter coefficients
windowCoefs – [in] points to the array of window coefficients

Returns

error status

MFCC_INIT_Q15 (512)

Initialization of the MFCC Q15 instance structure for 512 samples MFCC.

window coefficients can describe (for instance) a Hamming window. The array has the same size as the FFT length.

Description: The matrix of Mel filter coefficients is sparse. Most of the coefficients are zero. To avoid multiplying the spectrogram by those zeros, the filter is applied only to a given position in the spectrogram and on a given number of FFT bins (the filter length). It is the reason for the arrays filterPos and filterLengths.

The folder Scripts is containing a Python script which can be used to generate the filter, dct and window arrays.

Parameters

S – [out] points to the mfcc instance structure
nbMelFilters – [in] number of Mel filters
nbDctOutputs – [in] number of Dct outputs
dctCoefs – [in] points to an array of DCT coefficients
filterPos – [in] points of the array of filter positions
filterLengths – [in] points to the array of filter lengths
filterCoefs – [in] points to the array of filter coefficients
windowCoefs – [in] points to the array of window coefficients

Returns

error status

MFCC_INIT_Q15 (1024)

Initialization of the MFCC Q15 instance structure for 1024 samples MFCC.

window coefficients can describe (for instance) a Hamming window. The array has the same size as the FFT length.

Description: The matrix of Mel filter coefficients is sparse. Most of the coefficients are zero. To avoid multiplying the spectrogram by those zeros, the filter is applied only to a given position in the spectrogram and on a given number of FFT bins (the filter length). It is the reason for the arrays filterPos and filterLengths.

The folder Scripts is containing a Python script which can be used to generate the filter, dct and window arrays.

Parameters

S – [out] points to the mfcc instance structure
nbMelFilters – [in] number of Mel filters
nbDctOutputs – [in] number of Dct outputs
dctCoefs – [in] points to an array of DCT coefficients
filterPos – [in] points of the array of filter positions
filterLengths – [in] points to the array of filter lengths
filterCoefs – [in] points to the array of filter coefficients
windowCoefs – [in] points to the array of window coefficients

Returns

error status

MFCC_INIT_Q15 (2048)

Initialization of the MFCC Q15 instance structure for 2048 samples MFCC.

window coefficients can describe (for instance) a Hamming window. The array has the same size as the FFT length.

Description: The matrix of Mel filter coefficients is sparse. Most of the coefficients are zero. To avoid multiplying the spectrogram by those zeros, the filter is applied only to a given position in the spectrogram and on a given number of FFT bins (the filter length). It is the reason for the arrays filterPos and filterLengths.

The folder Scripts is containing a Python script which can be used to generate the filter, dct and window arrays.

Parameters

S – [out] points to the mfcc instance structure
nbMelFilters – [in] number of Mel filters
nbDctOutputs – [in] number of Dct outputs
dctCoefs – [in] points to an array of DCT coefficients
filterPos – [in] points of the array of filter positions
filterLengths – [in] points to the array of filter lengths
filterCoefs – [in] points to the array of filter coefficients
windowCoefs – [in] points to the array of window coefficients

Returns

error status

MFCC_INIT_Q15 (4096)

Initialization of the MFCC Q15 instance structure for 4096 samples MFCC.

window coefficients can describe (for instance) a Hamming window. The array has the same size as the FFT length.

Description: The matrix of Mel filter coefficients is sparse. Most of the coefficients are zero. To avoid multiplying the spectrogram by those zeros, the filter is applied only to a given position in the spectrogram and on a given number of FFT bins (the filter length). It is the reason for the arrays filterPos and filterLengths.

The folder Scripts is containing a Python script which can be used to generate the filter, dct and window arrays.

Parameters

S – [out] points to the mfcc instance structure
nbMelFilters – [in] number of Mel filters
nbDctOutputs – [in] number of Dct outputs
dctCoefs – [in] points to an array of DCT coefficients
filterPos – [in] points of the array of filter positions
filterLengths – [in] points to the array of filter lengths
filterCoefs – [in] points to the array of filter coefficients
windowCoefs – [in] points to the array of window coefficients

Returns

error status

riscv_status riscv_mfcc_q15(const riscv_mfcc_instance_q15 *S, q15_t *pSrc, q15_t *pDst, q31_t *pTmp)

MFCC Q15.

The temporary buffer has a 2*fft length.

Description: The number of input samples is the FFT length used when initializing the instance data structure.

The source buffer is modified by this function.

The function may saturate. If the FFT length is too big and the number of MEL filters too small then the fixed point computations may saturate.

Parameters

S – [in] points to the mfcc instance structure
pSrc – [in] points to the input samples in Q15
pDst – [out] points to the output MFCC values in q8.7 format
pTmp – [inout] points to a temporary buffer of complex

Returns

none