MFCC F16

void riscv_mfcc_f16(const riscv_mfcc_instance_f16 *S, float16_t *pSrc, float16_t *pDst, float16_t *pTmp)

riscv_status riscv_mfcc_init_f16(riscv_mfcc_instance_f16 *S, uint32_t fftLen, uint32_t nbMelFilters, uint32_t nbDctOutputs, const float16_t *dctCoefs, const uint32_t *filterPos, const uint32_t *filterLengths, const float16_t *filterCoefs, const float16_t *windowCoefs)
 MFCC_INIT_F16 (32)
 MFCC_INIT_F16 (64)
 MFCC_INIT_F16 (128)
 MFCC_INIT_F16 (256)
 MFCC_INIT_F16 (512)
 MFCC_INIT_F16 (1024)
 MFCC_INIT_F16 (2048)
 MFCC_INIT_F16 (4096)

MFCC_INIT_F16(LEN)
 group MFCCF16
Defines

MFCC_INIT_F16(LEN)
Functions

void riscv_mfcc_f16(const riscv_mfcc_instance_f16 *S, float16_t *pSrc, float16_t *pDst, float16_t *pTmp)
MFCC F16.
The temporary buffer has a 2*fft length size when MFCC is implemented with CFFT. It has length FFT Length + 2 when implemented with RFFT (default implementation).
 Description
The number of input samples if the FFT length used when initializing the instance data structure.
The source buffer is modified by this function.
 Parameters
S – [in] points to the mfcc instance structure
pSrc – [in] points to the input samples
pDst – [out] points to the output MFCC values
pTmp – [inout] points to a temporary buffer of complex
 Returns
none

riscv_status riscv_mfcc_init_f16(riscv_mfcc_instance_f16 *S, uint32_t fftLen, uint32_t nbMelFilters, uint32_t nbDctOutputs, const float16_t *dctCoefs, const uint32_t *filterPos, const uint32_t *filterLengths, const float16_t *filterCoefs, const float16_t *windowCoefs)
Initialization of the MFCC F16 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 that 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 NMSISDSP 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_F16 (32)
Initialization of the MFCC F16 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 that 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_F16 (64)
Initialization of the MFCC F16 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 that 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_F16 (128)
Initialization of the MFCC F16 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 that 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_F16 (256)
Initialization of the MFCC F16 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 that 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_F16 (512)
Initialization of the MFCC F16 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 that 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_F16 (1024)
Initialization of the MFCC F16 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 that 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_F16 (2048)
Initialization of the MFCC F16 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 that 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_F16 (4096)
Initialization of the MFCC F16 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 that 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_F16(LEN)