1 | /* |
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2 | Copyright (C) 2003-2013 Paul Brossier <piem@aubio.org> |
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3 | |
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4 | This file is part of aubio. |
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5 | |
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6 | aubio is free software: you can redistribute it and/or modify |
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7 | it under the terms of the GNU General Public License as published by |
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8 | the Free Software Foundation, either version 3 of the License, or |
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9 | (at your option) any later version. |
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10 | |
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11 | aubio is distributed in the hope that it will be useful, |
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12 | but WITHOUT ANY WARRANTY; without even the implied warranty of |
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13 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
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14 | GNU General Public License for more details. |
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15 | |
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16 | You should have received a copy of the GNU General Public License |
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17 | along with aubio. If not, see <http://www.gnu.org/licenses/>. |
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18 | |
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19 | */ |
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20 | |
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21 | #include "aubio_priv.h" |
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22 | #include "fvec.h" |
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23 | #include "cvec.h" |
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24 | #include "mathutils.h" |
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25 | #include "spectral/fft.h" |
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26 | #include "pitch/pitchyinfft.h" |
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27 | |
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28 | /** pitch yinfft structure */ |
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29 | struct _aubio_pitchyinfft_t |
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30 | { |
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31 | fvec_t *win; /**< temporal weighting window */ |
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32 | fvec_t *winput; /**< windowed spectrum */ |
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33 | fvec_t *sqrmag; /**< square difference function */ |
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34 | fvec_t *weight; /**< spectral weighting window (psychoacoustic model) */ |
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35 | fvec_t *fftout; /**< Fourier transform output */ |
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36 | aubio_fft_t *fft; /**< fft object to compute square difference function */ |
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37 | fvec_t *yinfft; /**< Yin function */ |
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38 | smpl_t tol; /**< Yin tolerance */ |
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39 | smpl_t confidence; /**< confidence */ |
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40 | uint_t short_period; /** shortest period under which to check for octave error */ |
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41 | }; |
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42 | |
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43 | static const smpl_t freqs[] = { |
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44 | 0., 20., 25., 31.5, 40., 50., 63., 80., 100., 125., |
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45 | 160., 200., 250., 315., 400., 500., 630., 800., 1000., 1250., |
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46 | 1600., 2000., 2500., 3150., 4000., 5000., 6300., 8000., 9000., 10000., |
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47 | 12500., 15000., 20000., 25100 |
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48 | }; |
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49 | |
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50 | static const smpl_t weight[] = { |
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51 | -75.8, -70.1, -60.8, -52.1, -44.2, -37.5, -31.3, -25.6, -20.9, -16.5, |
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52 | -12.6, -9.60, -7.00, -4.70, -3.00, -1.80, -0.80, -0.20, -0.00, 0.50, |
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53 | 1.60, 3.20, 5.40, 7.80, 8.10, 5.30, -2.40, -11.1, -12.8, -12.2, |
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54 | -7.40, -17.8, -17.8, -17.8 |
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55 | }; |
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56 | |
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57 | aubio_pitchyinfft_t * |
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58 | new_aubio_pitchyinfft (uint_t samplerate, uint_t bufsize) |
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59 | { |
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60 | uint_t i = 0, j = 1; |
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61 | smpl_t freq = 0, a0 = 0, a1 = 0, f0 = 0, f1 = 0; |
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62 | aubio_pitchyinfft_t *p = AUBIO_NEW (aubio_pitchyinfft_t); |
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63 | p->winput = new_fvec (bufsize); |
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64 | p->fft = new_aubio_fft (bufsize); |
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65 | p->fftout = new_fvec (bufsize); |
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66 | p->sqrmag = new_fvec (bufsize); |
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67 | p->yinfft = new_fvec (bufsize / 2 + 1); |
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68 | p->tol = 0.85; |
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69 | p->win = new_aubio_window ("hanningz", bufsize); |
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70 | p->weight = new_fvec (bufsize / 2 + 1); |
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71 | for (i = 0; i < p->weight->length; i++) { |
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72 | freq = (smpl_t) i / (smpl_t) bufsize *(smpl_t) samplerate; |
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73 | while (freq > freqs[j]) { |
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74 | j += 1; |
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75 | } |
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76 | a0 = weight[j - 1]; |
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77 | f0 = freqs[j - 1]; |
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78 | a1 = weight[j]; |
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79 | f1 = freqs[j]; |
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80 | if (f0 == f1) { // just in case |
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81 | p->weight->data[i] = a0; |
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82 | } else if (f0 == 0) { // y = ax+b |
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83 | p->weight->data[i] = (a1 - a0) / f1 * freq + a0; |
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84 | } else { |
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85 | p->weight->data[i] = (a1 - a0) / (f1 - f0) * freq + |
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86 | (a0 - (a1 - a0) / (f1 / f0 - 1.)); |
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87 | } |
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88 | while (freq > freqs[j]) { |
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89 | j += 1; |
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90 | } |
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91 | //AUBIO_DBG("%f\n",p->weight->data[i]); |
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92 | p->weight->data[i] = DB2LIN (p->weight->data[i]); |
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93 | //p->weight->data[i] = SQRT(DB2LIN(p->weight->data[i])); |
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94 | } |
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95 | // check for octave errors above 1300 Hz |
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96 | p->short_period = (uint_t)ROUND(samplerate / 1300.); |
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97 | return p; |
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98 | } |
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99 | |
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100 | void |
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101 | aubio_pitchyinfft_do (aubio_pitchyinfft_t * p, const fvec_t * input, fvec_t * output) |
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102 | { |
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103 | uint_t tau, l; |
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104 | uint_t length = p->fftout->length; |
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105 | uint_t halfperiod; |
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106 | fvec_t *fftout = p->fftout; |
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107 | fvec_t *yin = p->yinfft; |
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108 | smpl_t tmp = 0., sum = 0.; |
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109 | // window the input |
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110 | fvec_weighted_copy(input, p->win, p->winput); |
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111 | // get the real / imag parts of its fft |
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112 | aubio_fft_do_complex (p->fft, p->winput, fftout); |
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113 | // get the squared magnitude spectrum, applying some weight |
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114 | p->sqrmag->data[0] = SQR(fftout->data[0]); |
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115 | p->sqrmag->data[0] *= p->weight->data[0]; |
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116 | for (l = 1; l < length / 2; l++) { |
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117 | p->sqrmag->data[l] = SQR(fftout->data[l]) + SQR(fftout->data[length - l]); |
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118 | p->sqrmag->data[l] *= p->weight->data[l]; |
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119 | p->sqrmag->data[length - l] = p->sqrmag->data[l]; |
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120 | } |
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121 | p->sqrmag->data[length / 2] = SQR(fftout->data[length / 2]); |
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122 | p->sqrmag->data[length / 2] *= p->weight->data[length / 2]; |
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123 | // get sum of weighted squared mags |
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124 | for (l = 0; l < length / 2 + 1; l++) { |
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125 | sum += p->sqrmag->data[l]; |
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126 | } |
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127 | sum *= 2.; |
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128 | // get the real / imag parts of the fft of the squared magnitude |
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129 | aubio_fft_do_complex (p->fft, p->sqrmag, fftout); |
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130 | yin->data[0] = 1.; |
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131 | for (tau = 1; tau < yin->length; tau++) { |
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132 | // compute the square differences |
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133 | yin->data[tau] = sum - fftout->data[tau]; |
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134 | // and the cumulative mean normalized difference function |
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135 | tmp += yin->data[tau]; |
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136 | if (tmp != 0) { |
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137 | yin->data[tau] *= tau / tmp; |
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138 | } else { |
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139 | yin->data[tau] = 1.; |
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140 | } |
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141 | } |
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142 | // find best candidates |
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143 | tau = fvec_min_elem (yin); |
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144 | if (yin->data[tau] < p->tol) { |
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145 | // no interpolation, directly return the period as an integer |
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146 | //output->data[0] = tau; |
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147 | //return; |
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148 | |
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149 | // 3 point quadratic interpolation |
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150 | //return fvec_quadratic_peak_pos (yin,tau,1); |
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151 | /* additional check for (unlikely) octave doubling in higher frequencies */ |
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152 | if (tau > p->short_period) { |
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153 | output->data[0] = fvec_quadratic_peak_pos (yin, tau); |
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154 | } else { |
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155 | /* should compare the minimum value of each interpolated peaks */ |
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156 | halfperiod = FLOOR (tau / 2 + .5); |
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157 | if (yin->data[halfperiod] < p->tol) |
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158 | output->data[0] = fvec_quadratic_peak_pos (yin, halfperiod); |
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159 | else |
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160 | output->data[0] = fvec_quadratic_peak_pos (yin, tau); |
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161 | } |
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162 | } else { |
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163 | output->data[0] = 0.; |
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164 | } |
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165 | } |
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166 | |
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167 | void |
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168 | del_aubio_pitchyinfft (aubio_pitchyinfft_t * p) |
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169 | { |
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170 | del_fvec (p->win); |
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171 | del_aubio_fft (p->fft); |
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172 | del_fvec (p->yinfft); |
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173 | del_fvec (p->sqrmag); |
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174 | del_fvec (p->fftout); |
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175 | del_fvec (p->winput); |
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176 | del_fvec (p->weight); |
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177 | AUBIO_FREE (p); |
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178 | } |
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179 | |
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180 | smpl_t |
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181 | aubio_pitchyinfft_get_confidence (aubio_pitchyinfft_t * o) { |
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182 | o->confidence = 1. - fvec_min (o->yinfft); |
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183 | return o->confidence; |
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184 | } |
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185 | |
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186 | uint_t |
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187 | aubio_pitchyinfft_set_tolerance (aubio_pitchyinfft_t * p, smpl_t tol) |
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188 | { |
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189 | p->tol = tol; |
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190 | return 0; |
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191 | } |
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192 | |
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193 | smpl_t |
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194 | aubio_pitchyinfft_get_tolerance (aubio_pitchyinfft_t * p) |
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195 | { |
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196 | return p->tol; |
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197 | } |
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