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| 1 // Copyright 2013 The Chromium Authors. All rights reserved. | |
| 2 // Use of this source code is governed by a BSD-style license that can be | |
| 3 // found in the LICENSE file. | |
| 4 | |
| 5 #include "media/filters/wsola_internals.h" | |
| 6 | |
| 7 #include <algorithm> | |
| 8 #include <cmath> | |
| 9 #include <limits> | |
| 10 | |
| 11 #include "base/logging.h" | |
| 12 #include "base/memory/scoped_ptr.h" | |
| 13 #include "media/base/audio_bus.h" | |
| 14 | |
| 15 namespace media { | |
| 16 | |
| 17 namespace internal { | |
| 18 | |
| 19 bool InInterval(int n, Interval q) { | |
| 20 return n >= q.first && n <= q.second; | |
| 21 } | |
| 22 | |
| 23 float MultiChannelSimilarityMeasure(const float* dot_prod_a_b, | |
| 24 const float* energy_a, | |
| 25 const float* energy_b, | |
| 26 int channels) { | |
| 27 const float kEpsilon = 1e-12; | |
| 28 float similarity_measure = 0; | |
| 29 for (int n = 0; n < channels; ++n) { | |
| 30 similarity_measure += dot_prod_a_b[n] / sqrt(energy_a[n] * energy_b[n] + | |
| 31 kEpsilon); | |
| 32 } | |
| 33 return similarity_measure; | |
| 34 } | |
| 35 | |
| 36 void MultiChannelDotProduct(const AudioBus* a, | |
| 37 int frame_offset_a, | |
| 38 const AudioBus* b, | |
| 39 int frame_offset_b, | |
| 40 int num_frames, | |
| 41 float* dot_product) { | |
| 42 DCHECK_EQ(a->channels(), b->channels()); | |
| 43 DCHECK_GE(frame_offset_a, 0); | |
| 44 DCHECK_GE(frame_offset_b, 0); | |
| 45 DCHECK_LE(frame_offset_a + num_frames, a->frames()); | |
| 46 DCHECK_LE(frame_offset_b + num_frames, b->frames()); | |
| 47 | |
| 48 memset(dot_product, 0, sizeof(*dot_product) * a->channels()); | |
| 49 for (int k = 0; k < a->channels(); ++k) { | |
| 50 const float* ch_a = a->channel(k) + frame_offset_a; | |
| 51 const float* ch_b = b->channel(k) + frame_offset_b; | |
| 52 for (int n = 0; n < num_frames; ++n) { | |
| 53 dot_product[k] += *ch_a++ * *ch_b++; | |
| 54 } | |
| 55 } | |
| 56 } | |
| 57 | |
| 58 void MultiChannelMovingWindowEnergies(const AudioBus* input, | |
|
marpan
2013/08/02 17:56:54
The usage of terms: frames, blocks, and windows, m
turaj
2013/08/02 23:45:59
I tired to be more consistent.
On 2013/08/02 17:5
| |
| 59 int frames_per_window, | |
| 60 float* energy) { | |
| 61 int num_blocks = input->frames() - (frames_per_window - 1); | |
|
marpan
2013/08/02 17:56:54
Is it more consistent to use "num_frames" here ins
turaj
2013/08/02 23:45:59
But this is really the number of blocks. We have t
marpan
2013/08/06 17:14:10
Ok. Makes sense. You may want to add your comment
| |
| 62 int channels = input->channels(); | |
| 63 | |
| 64 for (int k = 0; k < input->channels(); ++k) { | |
| 65 const float* input_channel = input->channel(k); | |
| 66 | |
| 67 energy[k] = 0; | |
| 68 | |
| 69 // First window of channel |k|. | |
| 70 for (int m = 0; m < frames_per_window; ++m) | |
| 71 energy[k] += input_channel[m] * input_channel[m]; | |
|
marpan
2013/08/02 17:56:54
Easier to follow if you put { } around this one-li
turaj
2013/08/02 23:45:59
Done.
| |
| 72 | |
| 73 const float* slide_out = input_channel; | |
| 74 const float* slide_in = &input_channel[frames_per_window]; | |
| 75 for (int n = 1; n < num_blocks; ++n, ++slide_in, ++slide_out) { | |
| 76 energy[k + n * channels] = energy[k + (n - 1) * channels] - *slide_out * | |
| 77 *slide_out + *slide_in * *slide_in; | |
| 78 } | |
| 79 } | |
| 80 } | |
| 81 | |
| 82 // Fit the curve f(x) = a * x^2 + b * x + c such that | |
| 83 // f(-1) = |y[0]| | |
| 84 // f(0) = |y[1]| | |
| 85 // f(1) = |y[2]|. | |
| 86 void CubicInterpolation(const float* y_values, | |
| 87 float* extremum, | |
| 88 float* extremum_value) { | |
| 89 float a = 0.5f * (y_values[2] + y_values[0]) - y_values[1]; | |
| 90 float b = 0.5f * (y_values[2] - y_values[0]); | |
| 91 float c = y_values[1]; | |
| 92 | |
| 93 *extremum = -b / (2.f * a); | |
|
marpan
2013/08/02 17:56:54
"a" will never be zero here because this is only c
turaj
2013/08/02 23:45:59
Right, but maybe I should consider two other cases
| |
| 94 *extremum_value = a * (*extremum) * (*extremum) + b * (*extremum) + c; | |
| 95 } | |
| 96 | |
| 97 int DecimatedSearch(int decimation, | |
| 98 Interval exclude_interval, | |
| 99 const AudioBus* target_block, | |
| 100 const AudioBus* search_segment, | |
| 101 const float* energy_target_block, | |
| 102 const float* energy_candid_blocks) { | |
| 103 int channels = search_segment->channels(); | |
| 104 int block_size = target_block->frames(); | |
| 105 int num_candid_frames = search_segment->frames() - (block_size - 1); | |
| 106 scoped_ptr<float[]> dot_prod(new float[channels]); | |
| 107 float similarity[3]; // Three elements for cubic interpolation. | |
| 108 | |
| 109 int n = 0; | |
| 110 MultiChannelDotProduct(target_block, 0, search_segment, n, block_size, | |
| 111 dot_prod.get()); | |
| 112 similarity[0] = MultiChannelSimilarityMeasure( | |
| 113 dot_prod.get(), energy_target_block, &energy_candid_blocks[n * channels], | |
| 114 channels); | |
| 115 | |
| 116 // Set the starting point as optimal point. | |
| 117 float best_similarity = similarity[0]; | |
| 118 int optimal_index = 0; | |
| 119 | |
| 120 n += decimation; | |
| 121 MultiChannelDotProduct(target_block, 0, search_segment, n, block_size, | |
| 122 dot_prod.get()); | |
| 123 similarity[1] = MultiChannelSimilarityMeasure( | |
| 124 dot_prod.get(), energy_target_block, &energy_candid_blocks[n * channels], | |
| 125 channels); | |
| 126 | |
| 127 n += decimation; | |
|
marpan
2013/08/02 17:56:54
What if n>=num_candid_frames before entering loop,
turaj
2013/08/02 23:45:59
Although with the setting in AudioRendererAlgorith
| |
| 128 for (; n < num_candid_frames; n += decimation) { | |
| 129 MultiChannelDotProduct(target_block, 0, search_segment, n, block_size, | |
| 130 dot_prod.get()); | |
| 131 | |
| 132 similarity[2] = MultiChannelSimilarityMeasure( | |
| 133 dot_prod.get(), energy_target_block, | |
| 134 &energy_candid_blocks[n * channels], channels); | |
| 135 | |
| 136 if (similarity[1] > similarity[0] && | |
| 137 similarity[1] > similarity[2]) { | |
| 138 // A local maximum is found. Do a cubic interpolation for a better | |
| 139 // estimate of candid maximum. | |
| 140 float normalized_candid_optimal_index; | |
| 141 float candid_best_similarity; | |
| 142 CubicInterpolation(similarity, &normalized_candid_optimal_index, | |
| 143 &candid_best_similarity); | |
| 144 | |
| 145 int candid_optimal_index = n - decimation + | |
| 146 static_cast<int>(floor(normalized_candid_optimal_index * decimation + | |
| 147 0.5f)); | |
| 148 if (candid_best_similarity > best_similarity && | |
| 149 !InInterval(candid_optimal_index, exclude_interval)) { | |
| 150 optimal_index = candid_optimal_index; | |
| 151 best_similarity = candid_best_similarity; | |
| 152 } | |
| 153 } else if (n + decimation >= num_candid_frames && | |
| 154 similarity[2] > best_similarity && !InInterval(n, exclude_interval)) { | |
| 155 // If this is the end-point and has a better similarity-measure than | |
| 156 // optimal, then we accept it as optimal point. | |
| 157 optimal_index = n; | |
| 158 best_similarity = similarity[2]; | |
| 159 } | |
| 160 memmove(similarity, &similarity[1], 2 * sizeof(*similarity)); | |
| 161 } | |
| 162 return optimal_index; | |
| 163 } | |
| 164 | |
| 165 int PartialSearch(int lim_low, | |
| 166 int lim_high, | |
| 167 Interval exclude_interval, | |
| 168 const AudioBus* target_block, | |
| 169 const AudioBus* search_segment, | |
| 170 const float* energy_target_block, | |
| 171 const float* energy_candid_blocks) { | |
| 172 int channels = search_segment->channels(); | |
| 173 int block_size = target_block->frames(); | |
| 174 scoped_ptr<float[]> dot_prod(new float[channels]); | |
| 175 | |
| 176 float best_similarity = std::numeric_limits<float>::min(); | |
| 177 int optimal_index = 0; | |
| 178 | |
| 179 for (int n = lim_low; n <= lim_high; ++n) { | |
| 180 if (InInterval(n, exclude_interval)) { | |
| 181 continue; | |
| 182 } | |
| 183 MultiChannelDotProduct(target_block, 0, search_segment, n, block_size, | |
| 184 dot_prod.get()); | |
| 185 | |
| 186 float similarity = MultiChannelSimilarityMeasure( | |
| 187 dot_prod.get(), energy_target_block, | |
| 188 &energy_candid_blocks[n * channels], channels); | |
| 189 | |
| 190 if (similarity > best_similarity) { | |
| 191 best_similarity = similarity; | |
| 192 optimal_index = n; | |
| 193 } | |
| 194 } | |
| 195 | |
| 196 return optimal_index; | |
| 197 } | |
| 198 | |
| 199 int OptimalIndex(const AudioBus* search_segment, | |
| 200 const AudioBus* target_block, | |
| 201 Interval exclude_interval) { | |
| 202 int channels = search_segment->channels(); | |
| 203 DCHECK(channels == target_block->channels()); | |
| 204 int block_size = target_block->frames(); | |
| 205 int num_candid_frames = search_segment->frames() - (block_size - 1); | |
|
marpan
2013/08/02 17:56:54
Why the subtraction of the second term?, is that a
turaj
2013/08/02 23:45:59
The total frames (samples) in search-block is all
| |
| 206 const int kSearchDecimation = 5; | |
| 207 | |
| 208 scoped_ptr<float[]> energy_target_frame(new float[channels]); | |
| 209 scoped_ptr<float[]> energy_candid_frames( | |
| 210 new float[channels * num_candid_frames]); | |
| 211 | |
| 212 // Energy of all candid frames. | |
| 213 MultiChannelMovingWindowEnergies(search_segment, block_size, | |
| 214 energy_candid_frames.get()); | |
| 215 | |
| 216 // Energy of target frame. | |
| 217 MultiChannelDotProduct(target_block, 0, target_block, 0, | |
| 218 block_size, energy_target_frame.get()); | |
| 219 | |
| 220 int optimal_index = DecimatedSearch(kSearchDecimation, | |
| 221 exclude_interval, target_block, | |
| 222 search_segment, energy_target_frame.get(), | |
| 223 energy_candid_frames.get()); | |
| 224 | |
| 225 int lim_low = std::max(0, optimal_index - kSearchDecimation); | |
| 226 int lim_high = std::min(num_candid_frames - 1, | |
| 227 optimal_index + kSearchDecimation); | |
| 228 return PartialSearch(lim_low, lim_high, exclude_interval, target_block, | |
| 229 search_segment, energy_target_frame.get(), | |
| 230 energy_candid_frames.get()); | |
| 231 } | |
| 232 | |
| 233 void GetSymmetricHanningWindow(int window_length, float* window) { | |
| 234 const float kPi = 3.14159265f; | |
| 235 const float scale = 2.f * kPi / static_cast<float>(window_length); | |
| 236 for (int n = 0; n < window_length; ++n) | |
| 237 window[n] = 0.5 * (1 - cos(n * scale)); | |
| 238 } | |
| 239 | |
| 240 } // namespace internal | |
| 241 | |
| 242 } // namespace media | |
| 243 | |
| 244 | |
| 245 | |
| 246 | |
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