int main (void) { /* allocate some memory */ uint_t win_s = 512; /* fft size */ uint_t n_filters = 40; /* number of filters */ cvec_t *in = new_cvec (win_s); /* input buffer */ fvec_t *out = new_fvec (win_s); /* input buffer */ fmat_t *coeffs = NULL; smpl_t samplerate = 16000.; /* allocate fft and other memory space */ aubio_filterbank_t *o = new_aubio_filterbank (n_filters, win_s); /* assign Mel-frequency coefficients */ aubio_filterbank_set_mel_coeffs_slaney (o, samplerate); coeffs = aubio_filterbank_get_coeffs (o); if (coeffs == NULL) { return -1; } //fmat_print (coeffs); //fprintf(stderr, "%f\n", fvec_sum(coeffs)); aubio_filterbank_do (o, in, out); del_aubio_filterbank (o); del_cvec (in); del_fvec (out); aubio_cleanup (); return 0; }
void aubio_mfcc_do (aubio_mfcc_t * mf, cvec_t * in, fvec_t * out) { uint_t j, k; /* compute filterbank */ aubio_filterbank_do (mf->fb, in, mf->in_dct); /* compute log10 */ fvec_log10 (mf->in_dct); /* raise power */ //fvec_pow (mf->in_dct, 3.); /* zeros output */ fvec_zeros(out); /* compute discrete cosine transform */ for (j = 0; j < mf->n_filters; j++) { for (k = 0; k < mf->n_coefs; k++) { out->data[k] += mf->in_dct->data[j] * mf->dct_coeffs->data[j][k]; } } return; }
int main (void) { /* allocate some memory */ uint_t win_s = 1024; /* window size */ uint_t n_filters = 13; /* number of filters */ cvec_t *in = new_cvec (win_s); /* input buffer */ fvec_t *out = new_fvec (win_s); /* input buffer */ fmat_t *coeffs = NULL; /* allocate fft and other memory space */ aubio_filterbank_t *o = new_aubio_filterbank (n_filters, win_s); coeffs = aubio_filterbank_get_coeffs (o); if (coeffs == NULL) { return -1; } /* if (fvec_max (coeffs) != 0.) { return -1; } if (fvec_min (coeffs) != 0.) { return -1; } */ fmat_print (coeffs); aubio_filterbank_do (o, in, out); del_aubio_filterbank (o); del_cvec (in); del_fvec (out); aubio_cleanup (); return 0; }
static PyObject * Py_filterbank_do(Py_filterbank * self, PyObject * args) { PyObject *input; cvec_t *vec; fvec_t *out; if (!PyArg_ParseTuple (args, "O", &input)) { return NULL; } vec = PyAubio_ArrayToCCvec (input); if (vec == NULL) { return NULL; } out = new_fvec (self->n_filters); // compute the function aubio_filterbank_do (self->o, vec, out); return (PyObject *)PyAubio_CFvecToArray(out); }
int main () { uint_t win_s = 1024; // window size uint_t n_filters = 13; // number of filters cvec_t *in_spec = new_cvec (win_s); // input vector of samples fvec_t *out_filters = new_fvec (n_filters); // per-band outputs // create filterbank object aubio_filterbank_t *o = new_aubio_filterbank (n_filters, win_s); // apply filterbank ten times uint_t n = 10; while (n) { aubio_filterbank_do (o, in_spec, out_filters); n--; } // print out filterbank coeffs fmat_t *coeffs; // pointer to the coefficients coeffs = aubio_filterbank_get_coeffs (o); fmat_print (coeffs); aubio_filterbank_set_coeffs (o, coeffs); coeffs = aubio_filterbank_get_coeffs (o); fmat_print (coeffs); //fvec_print (out_filters); // clean up del_aubio_filterbank (o); del_cvec (in_spec); del_fvec (out_filters); aubio_cleanup (); return 0; }
int main (void) { uint_t samplerate = 16000; // samplerate of signal to filter uint_t win_s = 512; // fft size uint_t n_filters = 40; // number of filters cvec_t *in_spec = new_cvec (win_s); // input vector of samples fvec_t *out_filters = new_fvec (n_filters); // per-band outputs // create filterbank object aubio_filterbank_t *o = new_aubio_filterbank (n_filters, win_s); // assign Mel-frequency coefficients aubio_filterbank_set_mel_coeffs_slaney (o, samplerate); // apply filterbank ten times uint_t n = 10; while (n) { aubio_filterbank_do (o, in_spec, out_filters); n--; } // print out filter coefficients fmat_t *coeffs; // pointer to the coefficients coeffs = aubio_filterbank_get_coeffs (o); fmat_print (coeffs); //fvec_print (out_filters); del_aubio_filterbank (o); del_cvec (in_spec); del_fvec (out_filters); aubio_cleanup (); return 0; }
void ofxAubioMelBands::blockAudioIn() { aubio_pvoc_do(pv, aubio_input, spectrum); aubio_filterbank_do(fb, spectrum, bands); }