source: src/pitch/pitchyinfft.c @ a6e2e5f

feature/autosinkfeature/cnnfeature/cnn_orgfeature/constantqfeature/crepefeature/crepe_orgfeature/pitchshiftfeature/pydocstringsfeature/timestretchfix/ffmpeg5pitchshiftsamplertimestretchyinfft+
Last change on this file since a6e2e5f was 88fee8f, checked in by Paul Brossier <piem@piem.org>, 11 years ago

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

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[650e39b]1/*
[a5f4b7d]2  Copyright (C) 2003-2013 Paul Brossier <piem@aubio.org>
[650e39b]3
[e6a78ea]4  This file is part of aubio.
[650e39b]5
[e6a78ea]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/>.
[650e39b]18
19*/
20
21#include "aubio_priv.h"
[6c7d49b]22#include "fvec.h"
23#include "cvec.h"
[650e39b]24#include "mathutils.h"
[32d6958]25#include "spectral/fft.h"
[2d8cffa]26#include "pitch/pitchyinfft.h"
[650e39b]27
[91879d9]28/** pitch yinfft structure */
[fddfa64]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) */
[4a95f83]35  fvec_t *fftout;     /**< Fourier transform output */
[fddfa64]36  aubio_fft_t *fft;   /**< fft object to compute square difference function */
37  fvec_t *yinfft;     /**< Yin function */
[22d33e2]38  smpl_t tol;         /**< Yin tolerance */
[5284e0d]39  smpl_t confidence;  /**< confidence */
[9c9202f]40  uint_t short_period; /** shortest period under which to check for octave error */
[650e39b]41};
42
[88fee8f]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
[fddfa64]48};
[650e39b]49
[88fee8f]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
[fddfa64]55};
[650e39b]56
[fddfa64]57aubio_pitchyinfft_t *
[9c9202f]58new_aubio_pitchyinfft (uint_t samplerate, uint_t bufsize)
[650e39b]59{
[fddfa64]60  aubio_pitchyinfft_t *p = AUBIO_NEW (aubio_pitchyinfft_t);
[168337e]61  p->winput = new_fvec (bufsize);
62  p->fft = new_aubio_fft (bufsize);
[4a95f83]63  p->fftout = new_fvec (bufsize);
[168337e]64  p->sqrmag = new_fvec (bufsize);
65  p->yinfft = new_fvec (bufsize / 2 + 1);
[fddfa64]66  p->tol = 0.85;
67  p->win = new_aubio_window ("hanningz", bufsize);
[168337e]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++) {
[9c9202f]72    freq = (smpl_t) i / (smpl_t) bufsize *(smpl_t) samplerate;
[168337e]73    while (freq > freqs[j]) {
74      j += 1;
[10cf306]75    }
[168337e]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]));
[650e39b]94  }
[9c9202f]95  // check for octave errors above 1300 Hz
96  p->short_period = (uint_t)ROUND(samplerate / 1300.);
[650e39b]97  return p;
98}
99
[fddfa64]100void
101aubio_pitchyinfft_do (aubio_pitchyinfft_t * p, fvec_t * input, fvec_t * output)
102{
[168337e]103  uint_t tau, l;
[a5f4b7d]104  uint_t length = p->fftout->length;
[650e39b]105  uint_t halfperiod;
[a5f4b7d]106  fvec_t *fftout = p->fftout;
107  fvec_t *yin = p->yinfft;
108  smpl_t tmp = 0., sum = 0.;
109  // window the input
[168337e]110  for (l = 0; l < input->length; l++) {
111    p->winput->data[l] = p->win->data[l] * input->data[l];
112  }
[a5f4b7d]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]);
[8da0033]117  p->sqrmag->data[0] *= p->weight->data[0];
[4a95f83]118  for (l = 1; l < length / 2; l++) {
[a5f4b7d]119    p->sqrmag->data[l] = SQR(fftout->data[l]) + SQR(fftout->data[length - l]);
[168337e]120    p->sqrmag->data[l] *= p->weight->data[l];
[a5f4b7d]121    p->sqrmag->data[length - l] = p->sqrmag->data[l];
[168337e]122  }
[a5f4b7d]123  p->sqrmag->data[length / 2] = SQR(fftout->data[length / 2]);
[4a95f83]124  p->sqrmag->data[length / 2] *= p->weight->data[length / 2];
[a5f4b7d]125  // get sum of weighted squared mags
[4a95f83]126  for (l = 0; l < length / 2 + 1; l++) {
[168337e]127    sum += p->sqrmag->data[l];
128  }
129  sum *= 2.;
[a5f4b7d]130  // get the real / imag parts of the fft of the squared magnitude
131  aubio_fft_do_complex (p->fft, p->sqrmag, fftout);
[168337e]132  yin->data[0] = 1.;
133  for (tau = 1; tau < yin->length; tau++) {
[a5f4b7d]134    // compute the square differences
135    yin->data[tau] = sum - fftout->data[tau];
136    // and the cumulative mean normalized difference function
[168337e]137    tmp += yin->data[tau];
138    yin->data[tau] *= tau / tmp;
139  }
[a5f4b7d]140  // find best candidates
[168337e]141  tau = fvec_min_elem (yin);
142  if (yin->data[tau] < p->tol) {
[a5f4b7d]143    // no interpolation, directly return the period as an integer
144    //output->data[0] = tau;
145    //return;
146
147    // 3 point quadratic interpolation
[dc7f2cc]148    //return fvec_quadratic_peak_pos (yin,tau,1);
[168337e]149    /* additional check for (unlikely) octave doubling in higher frequencies */
[9c9202f]150    if (tau > p->short_period) {
[dc7f2cc]151      output->data[0] = fvec_quadratic_peak_pos (yin, tau);
[10cf306]152    } else {
[168337e]153      /* should compare the minimum value of each interpolated peaks */
154      halfperiod = FLOOR (tau / 2 + .5);
155      if (yin->data[halfperiod] < p->tol)
[dc7f2cc]156        output->data[0] = fvec_quadratic_peak_pos (yin, halfperiod);
[168337e]157      else
[dc7f2cc]158        output->data[0] = fvec_quadratic_peak_pos (yin, tau);
[10cf306]159    }
[168337e]160  } else {
161    output->data[0] = 0.;
[22d33e2]162  }
[650e39b]163}
164
[fddfa64]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);
[4a95f83]172  del_fvec (p->fftout);
[fddfa64]173  del_fvec (p->winput);
174  del_fvec (p->weight);
175  AUBIO_FREE (p);
[650e39b]176}
[22d33e2]177
[5284e0d]178smpl_t
179aubio_pitchyinfft_get_confidence (aubio_pitchyinfft_t * o) {
180  o->confidence = 1. - fvec_min (o->yinfft);
181  return o->confidence;
182}
183
[fddfa64]184uint_t
185aubio_pitchyinfft_set_tolerance (aubio_pitchyinfft_t * p, smpl_t tol)
186{
[22d33e2]187  p->tol = tol;
188  return 0;
189}
190
[fddfa64]191smpl_t
192aubio_pitchyinfft_get_tolerance (aubio_pitchyinfft_t * p)
193{
[22d33e2]194  return p->tol;
195}
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