source: src/spectral/filterbank_mel.c @ d389e23

feature/autosinkfeature/cnnfeature/cnn_orgfeature/constantqfeature/crepefeature/crepe_orgfeature/pitchshiftfeature/pydocstringsfeature/timestretchfix/ffmpeg5pitchshiftsamplertimestretchyinfft+
Last change on this file since d389e23 was db354e0, checked in by Paul Brossier <piem@piem.org>, 11 years ago

src/spectral/filterbank_mel.c: add missing include

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File size: 6.0 KB
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1/*
2  Copyright (C) 2007-2009 Paul Brossier <piem@aubio.org>
3                      and Amaury Hazan <ahazan@iua.upf.edu>
4
5  This file is part of aubio.
6
7  aubio is free software: you can redistribute it and/or modify
8  it under the terms of the GNU General Public License as published by
9  the Free Software Foundation, either version 3 of the License, or
10  (at your option) any later version.
11
12  aubio is distributed in the hope that it will be useful,
13  but WITHOUT ANY WARRANTY; without even the implied warranty of
14  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
15  GNU General Public License for more details.
16
17  You should have received a copy of the GNU General Public License
18  along with aubio.  If not, see <http://www.gnu.org/licenses/>.
19
20*/
21
22#include "aubio_priv.h"
23#include "fmat.h"
24#include "fvec.h"
25#include "cvec.h"
26#include "spectral/filterbank.h"
27#include "spectral/filterbank_mel.h"
28#include "mathutils.h"
29
30uint_t
31aubio_filterbank_set_triangle_bands (aubio_filterbank_t * fb,
32    fvec_t * freqs, smpl_t samplerate)
33{
34
35  fmat_t *filters = aubio_filterbank_get_coeffs (fb);
36  uint_t n_filters = filters->height, win_s = filters->length;
37
38  uint_t fn;                    /* filter counter */
39  uint_t bin;                   /* bin counter */
40
41  /* freqs define the bands of triangular overlapping windows.
42     throw a warning if filterbank object fb is too short. */
43  if (freqs->length - 2 > n_filters) {
44    AUBIO_WRN ("not enough filters, %d allocated but %d requested\n",
45        n_filters, freqs->length - 2);
46  }
47
48  if (freqs->length - 2 < n_filters) {
49    AUBIO_WRN ("too many filters, %d allocated but %d requested\n",
50        n_filters, freqs->length - 2);
51  }
52
53  if (freqs->data[freqs->length - 1] > samplerate / 2) {
54    AUBIO_WRN ("Nyquist frequency is %fHz, but highest frequency band ends at \
55%fHz\n", samplerate / 2, freqs->data[freqs->length - 1]);
56  }
57
58  /* convenience reference to lower/center/upper frequency for each triangle */
59  fvec_t *lower_freqs = new_fvec (n_filters);
60  fvec_t *upper_freqs = new_fvec (n_filters);
61  fvec_t *center_freqs = new_fvec (n_filters);
62
63  /* height of each triangle */
64  fvec_t *triangle_heights = new_fvec (n_filters);
65
66  /* lookup table of each bin frequency in hz */
67  fvec_t *fft_freqs = new_fvec (win_s);
68
69  /* fill up the lower/center/upper */
70  for (fn = 0; fn < n_filters; fn++) {
71    lower_freqs->data[fn] = freqs->data[fn];
72    center_freqs->data[fn] = freqs->data[fn + 1];
73    upper_freqs->data[fn] = freqs->data[fn + 2];
74  }
75
76  /* compute triangle heights so that each triangle has unit area */
77  for (fn = 0; fn < n_filters; fn++) {
78    triangle_heights->data[fn] =
79        2. / (upper_freqs->data[fn] - lower_freqs->data[fn]);
80  }
81
82  /* fill fft_freqs lookup table, which assigns the frequency in hz to each bin */
83  for (bin = 0; bin < win_s; bin++) {
84    fft_freqs->data[bin] =
85        aubio_bintofreq (bin, samplerate, (win_s - 1) * 2);
86  }
87
88  /* zeroing of all filters */
89  fmat_zeros (filters);
90
91  if (fft_freqs->data[1] >= lower_freqs->data[0]) {
92    /* - 1 to make sure we don't miss the smallest power of two */
93    uint_t min_win_s =
94        (uint_t) FLOOR (samplerate / lower_freqs->data[0]) - 1;
95    AUBIO_WRN ("Lowest frequency bin (%.2fHz) is higher than lowest frequency \
96band (%.2f-%.2fHz). Consider increasing the window size from %d to %d.\n",
97        fft_freqs->data[1], lower_freqs->data[0],
98        upper_freqs->data[0], (win_s - 1) * 2,
99        aubio_next_power_of_two (min_win_s));
100  }
101
102  /* building each filter table */
103  for (fn = 0; fn < n_filters; fn++) {
104
105    /* skip first elements */
106    for (bin = 0; bin < win_s - 1; bin++) {
107      if (fft_freqs->data[bin] <= lower_freqs->data[fn] &&
108          fft_freqs->data[bin + 1] > lower_freqs->data[fn]) {
109        bin++;
110        break;
111      }
112    }
113
114    /* compute positive slope step size */
115    smpl_t riseInc =
116        triangle_heights->data[fn] /
117        (center_freqs->data[fn] - lower_freqs->data[fn]);
118
119    /* compute coefficients in positive slope */
120    for (; bin < win_s - 1; bin++) {
121      filters->data[fn][bin] =
122          (fft_freqs->data[bin] - lower_freqs->data[fn]) * riseInc;
123
124      if (fft_freqs->data[bin + 1] >= center_freqs->data[fn]) {
125        bin++;
126        break;
127      }
128    }
129
130    /* compute negative slope step size */
131    smpl_t downInc =
132        triangle_heights->data[fn] /
133        (upper_freqs->data[fn] - center_freqs->data[fn]);
134
135    /* compute coefficents in negative slope */
136    for (; bin < win_s - 1; bin++) {
137      filters->data[fn][bin] +=
138          (upper_freqs->data[fn] - fft_freqs->data[bin]) * downInc;
139
140      if (filters->data[fn][bin] < 0.) {
141        filters->data[fn][bin] = 0.;
142      }
143
144      if (fft_freqs->data[bin + 1] >= upper_freqs->data[fn])
145        break;
146    }
147    /* nothing else to do */
148
149  }
150
151  /* destroy temporarly allocated vectors */
152  del_fvec (lower_freqs);
153  del_fvec (upper_freqs);
154  del_fvec (center_freqs);
155
156  del_fvec (triangle_heights);
157  del_fvec (fft_freqs);
158
159  return 0;
160}
161
162uint_t
163aubio_filterbank_set_mel_coeffs_slaney (aubio_filterbank_t * fb,
164    smpl_t samplerate)
165{
166  uint_t retval;
167
168  /* Malcolm Slaney parameters */
169  smpl_t lowestFrequency = 133.3333;
170  smpl_t linearSpacing = 66.66666666;
171  smpl_t logSpacing = 1.0711703;
172
173  uint_t linearFilters = 13;
174  uint_t logFilters = 27;
175  uint_t n_filters = linearFilters + logFilters;
176
177  uint_t fn;                    /* filter counter */
178
179  /* buffers to compute filter frequencies */
180  fvec_t *freqs = new_fvec (n_filters + 2);
181
182  /* first step: fill all the linear filter frequencies */
183  for (fn = 0; fn < linearFilters; fn++) {
184    freqs->data[fn] = lowestFrequency + fn * linearSpacing;
185  }
186  smpl_t lastlinearCF = freqs->data[fn - 1];
187
188  /* second step: fill all the log filter frequencies */
189  for (fn = 0; fn < logFilters + 2; fn++) {
190    freqs->data[fn + linearFilters] =
191        lastlinearCF * (POW (logSpacing, fn + 1));
192  }
193
194  /* now compute the actual coefficients */
195  retval = aubio_filterbank_set_triangle_bands (fb, freqs, samplerate);
196
197  /* destroy vector used to store frequency limits */
198  del_fvec (freqs);
199
200  return retval;
201}
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