ref: f912e909150f1e608c96af03d40d8cd4d8177b80
dir: /python/ext/py-filterbank.c/
#include "aubio-types.h"
static char Py_filterbank_doc[] = ""
"filterbank(n_filters=40, win_s=1024)\n"
"\n"
"Create a bank of spectral filters. Each instance is a callable\n"
"that holds a matrix of coefficients.\n"
"\n"
"See also :meth:`set_mel_coeffs`, :meth:`set_mel_coeffs_htk`,\n"
":meth:`set_mel_coeffs_slaney`, :meth:`set_triangle_bands`, and\n"
":meth:`set_coeffs`.\n"
"\n"
"Parameters\n"
"----------\n"
"n_filters : int\n"
" Number of filters to create.\n"
"win_s : int\n"
" Size of the input spectrum to process.\n"
"\n"
"Examples\n"
"--------\n"
">>> f = aubio.filterbank(128, 1024)\n"
">>> f.set_mel_coeffs(44100, 0, 10000)\n"
">>> c = aubio.cvec(1024)\n"
">>> f(c).shape\n"
"(128, )\n"
"";
static char Py_filterbank_set_triangle_bands_doc[] =""
"set_triangle_bands(freqs, samplerate)\n"
"\n"
"Set triangular bands. The coefficients will be set to triangular\n"
"overlapping windows using the boundaries specified by `freqs`.\n"
"\n"
"`freqs` should contain `n_filters + 2` frequencies in Hz, ordered\n"
"by value, from smallest to largest. The first element should be greater\n"
"or equal to zero; the last element should be smaller or equal to\n"
"`samplerate / 2`.\n"
"\n"
"Parameters\n"
"----------\n"
"freqs: fvec\n"
" List of frequencies, in Hz.\n"
"samplerate : float\n"
" Sampling-rate of the expected input.\n"
"\n"
"Example\n"
"-------\n"
">>> fb = aubio.filterbank(n_filters=100, win_s=2048)\n"
">>> samplerate = 44100; freqs = np.linspace(0, 20200, 102)\n"
">>> fb.set_triangle_bands(aubio.fvec(freqs), samplerate)\n"
"";
static char Py_filterbank_set_mel_coeffs_slaney_doc[] = ""
"set_mel_coeffs_slaney(samplerate)\n"
"\n"
"Set coefficients of filterbank to match Slaney's Auditory Toolbox.\n"
"\n"
"The filter coefficients will be set as in Malcolm Slaney's\n"
"implementation. The filterbank should have been created with\n"
"`n_filters = 40`.\n"
"\n"
"This is approximately equivalent to using :meth:`set_mel_coeffs` with\n"
"`fmin = 400./3., fmax = 6853.84`.\n"
"\n"
"Parameters\n"
"----------\n"
"samplerate : float\n"
" Sampling-rate of the expected input.\n"
"\n"
"References\n"
"----------\n"
"\n"
"Malcolm Slaney, `Auditory Toolbox Version 2, Technical Report #1998-010\n"
"<https://engineering.purdue.edu/~malcolm/interval/1998-010/>`_\n"
"";
static char Py_filterbank_set_mel_coeffs_doc[] = ""
"set_mel_coeffs(samplerate, fmin, fmax)\n"
"\n"
"Set coefficients of filterbank to linearly spaced mel scale.\n"
"\n"
"Parameters\n"
"----------\n"
"samplerate : float\n"
" Sampling-rate of the expected input.\n"
"fmin : float\n"
" Lower frequency boundary of the first filter.\n"
"fmax : float\n"
" Upper frequency boundary of the last filter.\n"
"\n"
"See also\n"
"--------\n"
"hztomel\n"
"";
static char Py_filterbank_set_mel_coeffs_htk_doc[] = ""
"set_mel_coeffs_htk(samplerate, fmin, fmax)\n"
"\n"
"Set coefficients of the filters to be linearly spaced in the HTK mel scale.\n"
"\n"
"Parameters\n"
"----------\n"
"samplerate : float\n"
" Sampling-rate of the expected input.\n"
"fmin : float\n"
" Lower frequency boundary of the first filter.\n"
"fmax : float\n"
" Upper frequency boundary of the last filter.\n"
"\n"
"See also\n"
"--------\n"
"hztomel with `htk=True`\n"
"";
static char Py_filterbank_get_coeffs_doc[] = ""
"get_coeffs()\n"
"\n"
"Get coefficients matrix of filterbank.\n"
"\n"
"Returns\n"
"-------\n"
"array_like\n"
" Array of shape (n_filters, win_s/2+1) containing the coefficients.\n"
"";
static char Py_filterbank_set_coeffs_doc[] = ""
"set_coeffs(coeffs)\n"
"\n"
"Set coefficients of filterbank.\n"
"\n"
"Parameters\n"
"----------\n"
"coeffs : fmat\n"
" Array of shape (n_filters, win_s/2+1) containing the coefficients.\n"
"";
static char Py_filterbank_set_power_doc[] = ""
"set_power(power)\n"
"\n"
"Set power applied to input spectrum of filterbank.\n"
"\n"
"Parameters\n"
"----------\n"
"power : float\n"
" Power to raise input spectrum to before computing the filters.\n"
"";
static char Py_filterbank_get_power_doc[] = ""
"get_power()\n"
"\n"
"Get power applied to filterbank.\n"
"\n"
"Returns\n"
"-------\n"
"float\n"
" Power parameter.\n"
"";
static char Py_filterbank_set_norm_doc[] = ""
"set_norm(norm)\n"
"\n"
"Set norm parameter. If set to `0`, the filters will not be normalized.\n"
"If set to `1`, the filters will be normalized to one. Default to `1`.\n"
"\n"
"This function should be called *before* :meth:`set_triangle_bands`,\n"
":meth:`set_mel_coeffs`, :meth:`set_mel_coeffs_htk`, or\n"
":meth:`set_mel_coeffs_slaney`.\n"
"\n"
"Parameters\n"
"----------\n"
"norm : int\n"
" `0` to disable, `1` to enable\n"
"";
static char Py_filterbank_get_norm_doc[] = ""
"get_norm()\n"
"\n"
"Get norm parameter of filterbank.\n"
"\n"
"Returns\n"
"-------\n"
"float\n"
" Norm parameter.\n"
"";
typedef struct
{
PyObject_HEAD
aubio_filterbank_t * o;
uint_t n_filters;
uint_t win_s;
cvec_t vec;
fvec_t freqs;
fmat_t coeffs;
PyObject *out;
fvec_t c_out;
} Py_filterbank;
static PyObject *
Py_filterbank_new (PyTypeObject * type, PyObject * args, PyObject * kwds)
{
int win_s = 0, n_filters = 0;
Py_filterbank *self;
static char *kwlist[] = { "n_filters", "win_s", NULL };
if (!PyArg_ParseTupleAndKeywords (args, kwds, "|II", kwlist,
&n_filters, &win_s)) {
return NULL;
}
self = (Py_filterbank *) type->tp_alloc (type, 0);
if (self == NULL) {
return NULL;
}
self->win_s = Py_default_vector_length;
if (win_s > 0) {
self->win_s = win_s;
} else if (win_s < 0) {
PyErr_SetString (PyExc_ValueError,
"can not use negative window size");
return NULL;
}
self->n_filters = 40;
if (n_filters > 0) {
self->n_filters = n_filters;
} else if (n_filters < 0) {
PyErr_SetString (PyExc_ValueError,
"can not use negative number of filters");
return NULL;
}
return (PyObject *) self;
}
static int
Py_filterbank_init (Py_filterbank * self, PyObject * args, PyObject * kwds)
{
self->o = new_aubio_filterbank (self->n_filters, self->win_s);
if (self->o == NULL) {
PyErr_Format(PyExc_RuntimeError, "error creating filterbank with"
" n_filters=%d, win_s=%d", self->n_filters, self->win_s);
return -1;
}
self->out = new_py_fvec(self->n_filters);
return 0;
}
static void
Py_filterbank_del (Py_filterbank *self, PyObject *unused)
{
if (self->o) {
free(self->coeffs.data);
del_aubio_filterbank(self->o);
}
Py_XDECREF(self->out);
Py_TYPE(self)->tp_free((PyObject *) self);
}
static PyObject *
Py_filterbank_do(Py_filterbank * self, PyObject * args)
{
PyObject *input;
if (!PyArg_ParseTuple (args, "O", &input)) {
return NULL;
}
if (!PyAubio_PyCvecToCCvec(input, &(self->vec) )) {
return NULL;
}
if (self->vec.length != self->win_s / 2 + 1) {
PyErr_Format(PyExc_ValueError,
"input cvec has length %d, but filterbank expects length %d",
self->vec.length, self->win_s / 2 + 1);
return NULL;
}
Py_INCREF(self->out);
if (!PyAubio_ArrayToCFvec(self->out, &(self->c_out))) {
return NULL;
}
// compute the function
aubio_filterbank_do (self->o, &(self->vec), &(self->c_out));
return self->out;
}
static PyMemberDef Py_filterbank_members[] = {
{"win_s", T_INT, offsetof (Py_filterbank, win_s), READONLY,
"size of the window"},
{"n_filters", T_INT, offsetof (Py_filterbank, n_filters), READONLY,
"number of filters"},
{NULL} /* sentinel */
};
static PyObject *
Py_filterbank_set_triangle_bands (Py_filterbank * self, PyObject *args)
{
uint_t err = 0;
PyObject *input;
smpl_t samplerate;
if (!PyArg_ParseTuple (args, "O" AUBIO_NPY_SMPL_CHR, &input, &samplerate)) {
return NULL;
}
if (input == NULL) {
return NULL;
}
if (!PyAubio_ArrayToCFvec(input, &(self->freqs) )) {
return NULL;
}
err = aubio_filterbank_set_triangle_bands (self->o,
&(self->freqs), samplerate);
if (err > 0) {
if (PyErr_Occurred() == NULL) {
PyErr_SetString (PyExc_ValueError, "error running set_triangle_bands");
} else {
// change the RuntimeError into ValueError
PyObject *type, *value, *traceback;
PyErr_Fetch(&type, &value, &traceback);
PyErr_Restore(PyExc_ValueError, value, traceback);
}
return NULL;
}
Py_RETURN_NONE;
}
static PyObject *
Py_filterbank_set_mel_coeffs_slaney (Py_filterbank * self, PyObject *args)
{
uint_t err = 0;
smpl_t samplerate;
if (!PyArg_ParseTuple (args, AUBIO_NPY_SMPL_CHR, &samplerate)) {
return NULL;
}
err = aubio_filterbank_set_mel_coeffs_slaney (self->o, samplerate);
if (err > 0) {
if (PyErr_Occurred() == NULL) {
PyErr_SetString (PyExc_ValueError, "error running set_mel_coeffs_slaney");
} else {
// change the RuntimeError into ValueError
PyObject *type, *value, *traceback;
PyErr_Fetch(&type, &value, &traceback);
PyErr_Restore(PyExc_ValueError, value, traceback);
}
return NULL;
}
Py_RETURN_NONE;
}
static PyObject *
Py_filterbank_set_mel_coeffs (Py_filterbank * self, PyObject *args)
{
uint_t err = 0;
smpl_t samplerate;
smpl_t freq_min;
smpl_t freq_max;
if (!PyArg_ParseTuple (args, AUBIO_NPY_SMPL_CHR AUBIO_NPY_SMPL_CHR
AUBIO_NPY_SMPL_CHR, &samplerate, &freq_min, &freq_max)) {
return NULL;
}
err = aubio_filterbank_set_mel_coeffs (self->o, samplerate,
freq_min, freq_max);
if (err > 0) {
if (PyErr_Occurred() == NULL) {
PyErr_SetString (PyExc_ValueError, "error running set_mel_coeffs");
} else {
// change the RuntimeError into ValueError
PyObject *type, *value, *traceback;
PyErr_Fetch(&type, &value, &traceback);
PyErr_Restore(PyExc_ValueError, value, traceback);
}
return NULL;
}
Py_RETURN_NONE;
}
static PyObject *
Py_filterbank_set_mel_coeffs_htk (Py_filterbank * self, PyObject *args)
{
uint_t err = 0;
smpl_t samplerate;
smpl_t freq_min;
smpl_t freq_max;
if (!PyArg_ParseTuple (args, AUBIO_NPY_SMPL_CHR AUBIO_NPY_SMPL_CHR
AUBIO_NPY_SMPL_CHR, &samplerate, &freq_min, &freq_max)) {
return NULL;
}
err = aubio_filterbank_set_mel_coeffs_htk (self->o, samplerate,
freq_min, freq_max);
if (err > 0) {
if (PyErr_Occurred() == NULL) {
PyErr_SetString (PyExc_ValueError, "error running set_mel_coeffs_htk");
} else {
// change the RuntimeError into ValueError
PyObject *type, *value, *traceback;
PyErr_Fetch(&type, &value, &traceback);
PyErr_Restore(PyExc_ValueError, value, traceback);
}
return NULL;
}
Py_RETURN_NONE;
}
static PyObject *
Py_filterbank_set_coeffs (Py_filterbank * self, PyObject *args)
{
uint_t err = 0;
PyObject *input;
if (!PyArg_ParseTuple (args, "O", &input)) {
return NULL;
}
if (!PyAubio_ArrayToCFmat(input, &(self->coeffs))) {
return NULL;
}
err = aubio_filterbank_set_coeffs (self->o, &(self->coeffs));
if (err > 0) {
PyErr_SetString (PyExc_ValueError,
"error when setting filter coefficients");
return NULL;
}
Py_RETURN_NONE;
}
static PyObject *
Py_filterbank_get_coeffs (Py_filterbank * self, PyObject *unused)
{
return (PyObject *)PyAubio_CFmatToArray(
aubio_filterbank_get_coeffs (self->o) );
}
static PyObject *
Py_filterbank_set_power(Py_filterbank *self, PyObject *args)
{
smpl_t power;
if (!PyArg_ParseTuple (args, AUBIO_NPY_SMPL_CHR, &power)) {
return NULL;
}
if(aubio_filterbank_set_power (self->o, power)) {
if (PyErr_Occurred() == NULL) {
PyErr_SetString (PyExc_ValueError,
"error running filterbank.set_power");
} else {
// change the RuntimeError into ValueError
PyObject *type, *value, *traceback;
PyErr_Fetch(&type, &value, &traceback);
PyErr_Restore(PyExc_ValueError, value, traceback);
}
return NULL;
}
Py_RETURN_NONE;
}
static PyObject *
Py_filterbank_get_power (Py_filterbank * self, PyObject *unused)
{
smpl_t power = aubio_filterbank_get_power(self->o);
return (PyObject *)PyFloat_FromDouble (power);
}
static PyObject *
Py_filterbank_set_norm(Py_filterbank *self, PyObject *args)
{
smpl_t norm;
if (!PyArg_ParseTuple (args, AUBIO_NPY_SMPL_CHR, &norm)) {
return NULL;
}
if(aubio_filterbank_set_norm (self->o, norm)) {
if (PyErr_Occurred() == NULL) {
PyErr_SetString (PyExc_ValueError,
"error running filterbank.set_power");
} else {
// change the RuntimeError into ValueError
PyObject *type, *value, *traceback;
PyErr_Fetch(&type, &value, &traceback);
PyErr_Restore(PyExc_ValueError, value, traceback);
}
return NULL;
}
Py_RETURN_NONE;
}
static PyObject *
Py_filterbank_get_norm (Py_filterbank * self, PyObject *unused)
{
smpl_t norm = aubio_filterbank_get_norm(self->o);
return (PyObject *)PyFloat_FromDouble (norm);
}
static PyMethodDef Py_filterbank_methods[] = {
{"set_triangle_bands", (PyCFunction) Py_filterbank_set_triangle_bands,
METH_VARARGS, Py_filterbank_set_triangle_bands_doc},
{"set_mel_coeffs_slaney", (PyCFunction) Py_filterbank_set_mel_coeffs_slaney,
METH_VARARGS, Py_filterbank_set_mel_coeffs_slaney_doc},
{"set_mel_coeffs", (PyCFunction) Py_filterbank_set_mel_coeffs,
METH_VARARGS, Py_filterbank_set_mel_coeffs_doc},
{"set_mel_coeffs_htk", (PyCFunction) Py_filterbank_set_mel_coeffs_htk,
METH_VARARGS, Py_filterbank_set_mel_coeffs_htk_doc},
{"get_coeffs", (PyCFunction) Py_filterbank_get_coeffs,
METH_NOARGS, Py_filterbank_get_coeffs_doc},
{"set_coeffs", (PyCFunction) Py_filterbank_set_coeffs,
METH_VARARGS, Py_filterbank_set_coeffs_doc},
{"set_power", (PyCFunction) Py_filterbank_set_power,
METH_VARARGS, Py_filterbank_set_power_doc},
{"get_power", (PyCFunction) Py_filterbank_get_power,
METH_NOARGS, Py_filterbank_get_power_doc},
{"set_norm", (PyCFunction) Py_filterbank_set_norm,
METH_VARARGS, Py_filterbank_set_norm_doc},
{"get_norm", (PyCFunction) Py_filterbank_get_norm,
METH_NOARGS, Py_filterbank_get_norm_doc},
{NULL}
};
PyTypeObject Py_filterbankType = {
PyVarObject_HEAD_INIT (NULL, 0)
"aubio.filterbank",
sizeof (Py_filterbank),
0,
(destructor) Py_filterbank_del,
0,
0,
0,
0,
0,
0,
0,
0,
0,
(ternaryfunc)Py_filterbank_do,
0,
0,
0,
0,
Py_TPFLAGS_DEFAULT,
Py_filterbank_doc,
0,
0,
0,
0,
0,
0,
Py_filterbank_methods,
Py_filterbank_members,
0,
0,
0,
0,
0,
0,
(initproc) Py_filterbank_init,
0,
Py_filterbank_new,
0,
0,
0,
0,
0,
0,
0,
0,
0,
};