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alexander3c798932021-03-26 21:42:19 +00001/*
2 * Copyright (c) 2021 Arm Limited. All rights reserved.
3 * SPDX-License-Identifier: Apache-2.0
4 *
5 * Licensed under the Apache License, Version 2.0 (the "License");
6 * you may not use this file except in compliance with the License.
7 * You may obtain a copy of the License at
8 *
9 * http://www.apache.org/licenses/LICENSE-2.0
10 *
11 * Unless required by applicable law or agreed to in writing, software
12 * distributed under the License is distributed on an "AS IS" BASIS,
13 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14 * See the License for the specific language governing permissions and
15 * limitations under the License.
16 */
17#include "Mfcc.hpp"
18
19#include "PlatformMath.hpp"
20
21#include <cfloat>
22
23namespace arm {
24namespace app {
25namespace audio {
26
27 MfccParams::MfccParams(
28 const float samplingFreq,
29 const uint32_t numFbankBins,
30 const float melLoFreq,
31 const float melHiFreq,
32 const uint32_t numMfccFeats,
33 const uint32_t frameLen,
34 const bool useHtkMethod):
35 m_samplingFreq(samplingFreq),
36 m_numFbankBins(numFbankBins),
37 m_melLoFreq(melLoFreq),
38 m_melHiFreq(melHiFreq),
39 m_numMfccFeatures(numMfccFeats),
40 m_frameLen(frameLen),
41
42 /* Smallest power of 2 >= frame length. */
43 m_frameLenPadded(pow(2, ceil((log(frameLen)/log(2))))),
44 m_useHtkMethod(useHtkMethod)
45 {}
46
47 std::string MfccParams::Str()
48 {
49 char strC[1024];
50 snprintf(strC, sizeof(strC) - 1, "\n \
51 \n\t Sampling frequency: %f\
52 \n\t Number of filter banks: %u\
53 \n\t Mel frequency limit (low): %f\
54 \n\t Mel frequency limit (high): %f\
55 \n\t Number of MFCC features: %u\
56 \n\t Frame length: %u\
57 \n\t Padded frame length: %u\
58 \n\t Using HTK for Mel scale: %s\n",
59 this->m_samplingFreq, this->m_numFbankBins, this->m_melLoFreq,
60 this->m_melHiFreq, this->m_numMfccFeatures, this->m_frameLen,
61 this->m_frameLenPadded, this->m_useHtkMethod ? "yes" : "no");
62 return std::string{strC};
63 }
64
65 MFCC::MFCC(const MfccParams& params):
66 _m_params(params),
67 _m_filterBankInitialised(false)
68 {
69 this->_m_buffer = std::vector<float>(
70 this->_m_params.m_frameLenPadded, 0.0);
71 this->_m_frame = std::vector<float>(
72 this->_m_params.m_frameLenPadded, 0.0);
73 this->_m_melEnergies = std::vector<float>(
74 this->_m_params.m_numFbankBins, 0.0);
75
76 this->_m_windowFunc = std::vector<float>(this->_m_params.m_frameLen);
77 const float multiplier = 2 * M_PI / this->_m_params.m_frameLen;
78
79 /* Create window function. */
80 for (size_t i = 0; i < this->_m_params.m_frameLen; i++) {
81 this->_m_windowFunc[i] = (0.5 - (0.5 *
82 math::MathUtils::CosineF32(static_cast<float>(i) * multiplier)));
83 }
84
85 math::MathUtils::FftInitF32(this->_m_params.m_frameLenPadded, this->_m_fftInstance);
86 debug("Instantiated MFCC object: %s\n", this->_m_params.Str().c_str());
87 }
88
89 void MFCC::Init()
90 {
91 this->_InitMelFilterBank();
92 }
93
94 float MFCC::MelScale(const float freq, const bool useHTKMethod)
95 {
96 if (useHTKMethod) {
97 return 1127.0f * logf (1.0f + freq / 700.0f);
98 } else {
99 /* Slaney formula for mel scale. */
100
101 float mel = freq / ms_freqStep;
102
103 if (freq >= ms_minLogHz) {
104 mel = ms_minLogMel + logf(freq / ms_minLogHz) / ms_logStep;
105 }
106 return mel;
107 }
108 }
109
110 float MFCC::InverseMelScale(const float melFreq, const bool useHTKMethod)
111 {
112 if (useHTKMethod) {
113 return 700.0f * (expf (melFreq / 1127.0f) - 1.0f);
114 } else {
115 /* Slaney formula for mel scale. */
116 float freq = ms_freqStep * melFreq;
117
118 if (melFreq >= ms_minLogMel) {
119 freq = ms_minLogHz * expf(ms_logStep * (melFreq - ms_minLogMel));
120 }
121 return freq;
122 }
123 }
124
125
126 bool MFCC::ApplyMelFilterBank(
127 std::vector<float>& fftVec,
128 std::vector<std::vector<float>>& melFilterBank,
129 std::vector<int32_t>& filterBankFilterFirst,
130 std::vector<int32_t>& filterBankFilterLast,
131 std::vector<float>& melEnergies)
132 {
133 const size_t numBanks = melEnergies.size();
134
135 if (numBanks != filterBankFilterFirst.size() ||
136 numBanks != filterBankFilterLast.size()) {
137 printf_err("unexpected filter bank lengths\n");
138 return false;
139 }
140
141 for (size_t bin = 0; bin < numBanks; ++bin) {
142 auto filterBankIter = melFilterBank[bin].begin();
143 float melEnergy = FLT_MIN; /* Avoid log of zero at later stages */
144 int32_t firstIndex = filterBankFilterFirst[bin];
145 int32_t lastIndex = filterBankFilterLast[bin];
146
147 for (int i = firstIndex; i <= lastIndex; i++) {
148 float energyRep = math::MathUtils::SqrtF32(fftVec[i]);
149 melEnergy += (*filterBankIter++ * energyRep);
150 }
151
152 melEnergies[bin] = melEnergy;
153 }
154
155 return true;
156 }
157
158 void MFCC::ConvertToLogarithmicScale(std::vector<float>& melEnergies)
159 {
160 for (size_t bin = 0; bin < melEnergies.size(); ++bin) {
161 melEnergies[bin] = logf(melEnergies[bin]);
162 }
163 }
164
165 void MFCC::_ConvertToPowerSpectrum()
166 {
167 const uint32_t halfDim = this->_m_params.m_frameLenPadded / 2;
168
169 /* Handle this special case. */
170 float firstEnergy = this->_m_buffer[0] * this->_m_buffer[0];
171 float lastEnergy = this->_m_buffer[1] * this->_m_buffer[1];
172
173 math::MathUtils::ComplexMagnitudeSquaredF32(
174 this->_m_buffer.data(),
175 this->_m_buffer.size(),
176 this->_m_buffer.data(),
177 this->_m_buffer.size()/2);
178
179 this->_m_buffer[0] = firstEnergy;
180 this->_m_buffer[halfDim] = lastEnergy;
181 }
182
183 std::vector<float> MFCC::CreateDCTMatrix(
184 const int32_t inputLength,
185 const int32_t coefficientCount)
186 {
187 std::vector<float> dctMatix(inputLength * coefficientCount);
188
189 const float normalizer = math::MathUtils::SqrtF32(2.0f/inputLength);
190 const float angleIncr = M_PI/inputLength;
191 float angle = 0;
192
193 for (int32_t k = 0, m = 0; k < coefficientCount; k++, m += inputLength) {
194 for (int32_t n = 0; n < inputLength; n++) {
195 dctMatix[m+n] = normalizer *
196 math::MathUtils::CosineF32((n + 0.5) * angle);
197 }
198 angle += angleIncr;
199 }
200
201 return dctMatix;
202 }
203
204 float MFCC::GetMelFilterBankNormaliser(
205 const float& leftMel,
206 const float& rightMel,
207 const bool useHTKMethod)
208 {
209 UNUSED(leftMel);
210 UNUSED(rightMel);
211 UNUSED(useHTKMethod);
212
213 /* By default, no normalisation => return 1 */
214 return 1.f;
215 }
216
217 void MFCC::_InitMelFilterBank()
218 {
219 if (!this->_IsMelFilterBankInited()) {
220 this->_m_melFilterBank = this->_CreateMelFilterBank();
221 this->_m_dctMatrix = this->CreateDCTMatrix(
222 this->_m_params.m_numFbankBins,
223 this->_m_params.m_numMfccFeatures);
224 this->_m_filterBankInitialised = true;
225 }
226 }
227
228 bool MFCC::_IsMelFilterBankInited()
229 {
230 return this->_m_filterBankInitialised;
231 }
232
233 void MFCC::_MfccComputePreFeature(const std::vector<int16_t>& audioData)
234 {
235 this->_InitMelFilterBank();
236
237 /* TensorFlow way of normalizing .wav data to (-1, 1). */
238 constexpr float normaliser = 1.0/(1<<15);
239 for (size_t i = 0; i < this->_m_params.m_frameLen; i++) {
240 this->_m_frame[i] = static_cast<float>(audioData[i]) * normaliser;
241 }
242
243 /* Apply window function to input frame. */
244 for(size_t i = 0; i < this->_m_params.m_frameLen; i++) {
245 this->_m_frame[i] *= this->_m_windowFunc[i];
246 }
247
248 /* Set remaining frame values to 0. */
249 std::fill(this->_m_frame.begin() + this->_m_params.m_frameLen,this->_m_frame.end(), 0);
250
251 /* Compute FFT. */
252 math::MathUtils::FftF32(this->_m_frame, this->_m_buffer, this->_m_fftInstance);
253
254 /* Convert to power spectrum. */
255 this->_ConvertToPowerSpectrum();
256
257 /* Apply mel filterbanks. */
258 if (!this->ApplyMelFilterBank(this->_m_buffer,
259 this->_m_melFilterBank,
260 this->_m_filterBankFilterFirst,
261 this->_m_filterBankFilterLast,
262 this->_m_melEnergies)) {
263 printf_err("Failed to apply MEL filter banks\n");
264 }
265
266 /* Convert to logarithmic scale. */
267 this->ConvertToLogarithmicScale(this->_m_melEnergies);
268 }
269
270 std::vector<float> MFCC::MfccCompute(const std::vector<int16_t>& audioData)
271 {
272 this->_MfccComputePreFeature(audioData);
273
274 std::vector<float> mfccOut(this->_m_params.m_numMfccFeatures);
275
276 float * ptrMel = this->_m_melEnergies.data();
277 float * ptrDct = this->_m_dctMatrix.data();
278 float * ptrMfcc = mfccOut.data();
279
280 /* Take DCT. Uses matrix mul. */
281 for (size_t i = 0, j = 0; i < mfccOut.size();
282 ++i, j += this->_m_params.m_numFbankBins) {
283 *ptrMfcc++ = math::MathUtils::DotProductF32(
284 ptrDct + j,
285 ptrMel,
286 this->_m_params.m_numFbankBins);
287 }
288 return mfccOut;
289 }
290
291 std::vector<std::vector<float>> MFCC::_CreateMelFilterBank()
292 {
293 size_t numFftBins = this->_m_params.m_frameLenPadded / 2;
294 float fftBinWidth = static_cast<float>(this->_m_params.m_samplingFreq) / this->_m_params.m_frameLenPadded;
295
296 float melLowFreq = MFCC::MelScale(this->_m_params.m_melLoFreq,
297 this->_m_params.m_useHtkMethod);
298 float melHighFreq = MFCC::MelScale(this->_m_params.m_melHiFreq,
299 this->_m_params.m_useHtkMethod);
300 float melFreqDelta = (melHighFreq - melLowFreq) / (this->_m_params.m_numFbankBins + 1);
301
302 std::vector<float> thisBin = std::vector<float>(numFftBins);
303 std::vector<std::vector<float>> melFilterBank(
304 this->_m_params.m_numFbankBins);
305 this->_m_filterBankFilterFirst =
306 std::vector<int32_t>(this->_m_params.m_numFbankBins);
307 this->_m_filterBankFilterLast =
308 std::vector<int32_t>(this->_m_params.m_numFbankBins);
309
310 for (size_t bin = 0; bin < this->_m_params.m_numFbankBins; bin++) {
311 float leftMel = melLowFreq + bin * melFreqDelta;
312 float centerMel = melLowFreq + (bin + 1) * melFreqDelta;
313 float rightMel = melLowFreq + (bin + 2) * melFreqDelta;
314
315 int32_t firstIndex = -1;
316 int32_t lastIndex = -1;
317 const float normaliser = this->GetMelFilterBankNormaliser(leftMel, rightMel, this->_m_params.m_useHtkMethod);
318
319 for (size_t i = 0; i < numFftBins; i++) {
320 float freq = (fftBinWidth * i); /* Center freq of this fft bin. */
321 float mel = MFCC::MelScale(freq, this->_m_params.m_useHtkMethod);
322 thisBin[i] = 0.0;
323
324 if (mel > leftMel && mel < rightMel) {
325 float weight;
326 if (mel <= centerMel) {
327 weight = (mel - leftMel) / (centerMel - leftMel);
328 } else {
329 weight = (rightMel - mel) / (rightMel - centerMel);
330 }
331
332 thisBin[i] = weight * normaliser;
333 if (firstIndex == -1) {
334 firstIndex = i;
335 }
336 lastIndex = i;
337 }
338 }
339
340 this->_m_filterBankFilterFirst[bin] = firstIndex;
341 this->_m_filterBankFilterLast[bin] = lastIndex;
342
343 /* Copy the part we care about. */
344 for (int32_t i = firstIndex; i <= lastIndex; i++) {
345 melFilterBank[bin].push_back(thisBin[i]);
346 }
347 }
348
349 return melFilterBank;
350 }
351
352} /* namespace audio */
353} /* namespace app */
354} /* namespace arm */