source: src/pitch/pitchyinfft.c @ f0dd5fb

feature/autosinkfeature/cnnfeature/cnn_orgfeature/constantqfeature/crepefeature/crepe_orgfeature/pitchshiftfeature/pydocstringsfeature/timestretchfix/ffmpeg5pitchshiftsamplertimestretchyinfft+
Last change on this file since f0dd5fb was 88fee8f, checked in by Paul Brossier <piem@piem.org>, 10 years ago

src/pitch/pitchyinfft.c: beautify frequency weighting coefficients

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File size: 6.2 KB
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1/*
2  Copyright (C) 2003-2013 Paul Brossier <piem@aubio.org>
3
4  This file is part of aubio.
5
6  aubio is free software: you can redistribute it and/or modify
7  it under the terms of the GNU General Public License as published by
8  the Free Software Foundation, either version 3 of the License, or
9  (at your option) any later version.
10
11  aubio is distributed in the hope that it will be useful,
12  but WITHOUT ANY WARRANTY; without even the implied warranty of
13  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
14  GNU General Public License for more details.
15
16  You should have received a copy of the GNU General Public License
17  along with aubio.  If not, see <http://www.gnu.org/licenses/>.
18
19*/
20
21#include "aubio_priv.h"
22#include "fvec.h"
23#include "cvec.h"
24#include "mathutils.h"
25#include "spectral/fft.h"
26#include "pitch/pitchyinfft.h"
27
28/** pitch yinfft structure */
29struct _aubio_pitchyinfft_t
30{
31  fvec_t *win;        /**< temporal weighting window */
32  fvec_t *winput;     /**< windowed spectrum */
33  fvec_t *sqrmag;     /**< square difference function */
34  fvec_t *weight;     /**< spectral weighting window (psychoacoustic model) */
35  fvec_t *fftout;     /**< Fourier transform output */
36  aubio_fft_t *fft;   /**< fft object to compute square difference function */
37  fvec_t *yinfft;     /**< Yin function */
38  smpl_t tol;         /**< Yin tolerance */
39  smpl_t confidence;  /**< confidence */
40  uint_t short_period; /** shortest period under which to check for octave error */
41};
42
43static const smpl_t freqs[] = {
44     0.,    20.,    25.,   31.5,    40.,    50.,    63.,    80.,   100.,   125.,
45   160.,   200.,   250.,   315.,   400.,   500.,   630.,   800.,  1000.,  1250.,
46  1600.,  2000.,  2500.,  3150.,  4000.,  5000.,  6300.,  8000.,  9000., 10000.,
47 12500., 15000., 20000., 25100
48};
49
50static const smpl_t weight[] = {
51  -75.8,  -70.1,  -60.8,  -52.1,  -44.2,  -37.5,  -31.3,  -25.6,  -20.9,  -16.5,
52  -12.6,  -9.60,  -7.00,  -4.70,  -3.00,  -1.80,  -0.80,  -0.20,  -0.00,   0.50,
53   1.60,   3.20,   5.40,   7.80,   8.10,   5.30,  -2.40,  -11.1,  -12.8,  -12.2,
54  -7.40,  -17.8,  -17.8,  -17.8
55};
56
57aubio_pitchyinfft_t *
58new_aubio_pitchyinfft (uint_t samplerate, uint_t bufsize)
59{
60  aubio_pitchyinfft_t *p = AUBIO_NEW (aubio_pitchyinfft_t);
61  p->winput = new_fvec (bufsize);
62  p->fft = new_aubio_fft (bufsize);
63  p->fftout = new_fvec (bufsize);
64  p->sqrmag = new_fvec (bufsize);
65  p->yinfft = new_fvec (bufsize / 2 + 1);
66  p->tol = 0.85;
67  p->win = new_aubio_window ("hanningz", bufsize);
68  p->weight = new_fvec (bufsize / 2 + 1);
69  uint_t i = 0, j = 1;
70  smpl_t freq = 0, a0 = 0, a1 = 0, f0 = 0, f1 = 0;
71  for (i = 0; i < p->weight->length; i++) {
72    freq = (smpl_t) i / (smpl_t) bufsize *(smpl_t) samplerate;
73    while (freq > freqs[j]) {
74      j += 1;
75    }
76    a0 = weight[j - 1];
77    f0 = freqs[j - 1];
78    a1 = weight[j];
79    f1 = freqs[j];
80    if (f0 == f1) {           // just in case
81      p->weight->data[i] = a0;
82    } else if (f0 == 0) {     // y = ax+b
83      p->weight->data[i] = (a1 - a0) / f1 * freq + a0;
84    } else {
85      p->weight->data[i] = (a1 - a0) / (f1 - f0) * freq +
86          (a0 - (a1 - a0) / (f1 / f0 - 1.));
87    }
88    while (freq > freqs[j]) {
89      j += 1;
90    }
91    //AUBIO_DBG("%f\n",p->weight->data[i]);
92    p->weight->data[i] = DB2LIN (p->weight->data[i]);
93    //p->weight->data[i] = SQRT(DB2LIN(p->weight->data[i]));
94  }
95  // check for octave errors above 1300 Hz
96  p->short_period = (uint_t)ROUND(samplerate / 1300.);
97  return p;
98}
99
100void
101aubio_pitchyinfft_do (aubio_pitchyinfft_t * p, fvec_t * input, fvec_t * output)
102{
103  uint_t tau, l;
104  uint_t length = p->fftout->length;
105  uint_t halfperiod;
106  fvec_t *fftout = p->fftout;
107  fvec_t *yin = p->yinfft;
108  smpl_t tmp = 0., sum = 0.;
109  // window the input
110  for (l = 0; l < input->length; l++) {
111    p->winput->data[l] = p->win->data[l] * input->data[l];
112  }
113  // get the real / imag parts of its fft
114  aubio_fft_do_complex (p->fft, p->winput, fftout);
115  // get the squared magnitude spectrum, applying some weight
116  p->sqrmag->data[0] = SQR(fftout->data[0]);
117  p->sqrmag->data[0] *= p->weight->data[0];
118  for (l = 1; l < length / 2; l++) {
119    p->sqrmag->data[l] = SQR(fftout->data[l]) + SQR(fftout->data[length - l]);
120    p->sqrmag->data[l] *= p->weight->data[l];
121    p->sqrmag->data[length - l] = p->sqrmag->data[l];
122  }
123  p->sqrmag->data[length / 2] = SQR(fftout->data[length / 2]);
124  p->sqrmag->data[length / 2] *= p->weight->data[length / 2];
125  // get sum of weighted squared mags
126  for (l = 0; l < length / 2 + 1; l++) {
127    sum += p->sqrmag->data[l];
128  }
129  sum *= 2.;
130  // get the real / imag parts of the fft of the squared magnitude
131  aubio_fft_do_complex (p->fft, p->sqrmag, fftout);
132  yin->data[0] = 1.;
133  for (tau = 1; tau < yin->length; tau++) {
134    // compute the square differences
135    yin->data[tau] = sum - fftout->data[tau];
136    // and the cumulative mean normalized difference function
137    tmp += yin->data[tau];
138    yin->data[tau] *= tau / tmp;
139  }
140  // find best candidates
141  tau = fvec_min_elem (yin);
142  if (yin->data[tau] < p->tol) {
143    // no interpolation, directly return the period as an integer
144    //output->data[0] = tau;
145    //return;
146
147    // 3 point quadratic interpolation
148    //return fvec_quadratic_peak_pos (yin,tau,1);
149    /* additional check for (unlikely) octave doubling in higher frequencies */
150    if (tau > p->short_period) {
151      output->data[0] = fvec_quadratic_peak_pos (yin, tau);
152    } else {
153      /* should compare the minimum value of each interpolated peaks */
154      halfperiod = FLOOR (tau / 2 + .5);
155      if (yin->data[halfperiod] < p->tol)
156        output->data[0] = fvec_quadratic_peak_pos (yin, halfperiod);
157      else
158        output->data[0] = fvec_quadratic_peak_pos (yin, tau);
159    }
160  } else {
161    output->data[0] = 0.;
162  }
163}
164
165void
166del_aubio_pitchyinfft (aubio_pitchyinfft_t * p)
167{
168  del_fvec (p->win);
169  del_aubio_fft (p->fft);
170  del_fvec (p->yinfft);
171  del_fvec (p->sqrmag);
172  del_fvec (p->fftout);
173  del_fvec (p->winput);
174  del_fvec (p->weight);
175  AUBIO_FREE (p);
176}
177
178smpl_t
179aubio_pitchyinfft_get_confidence (aubio_pitchyinfft_t * o) {
180  o->confidence = 1. - fvec_min (o->yinfft);
181  return o->confidence;
182}
183
184uint_t
185aubio_pitchyinfft_set_tolerance (aubio_pitchyinfft_t * p, smpl_t tol)
186{
187  p->tol = tol;
188  return 0;
189}
190
191smpl_t
192aubio_pitchyinfft_get_tolerance (aubio_pitchyinfft_t * p)
193{
194  return p->tol;
195}
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