66 lines
2.2 KiB
C++
66 lines
2.2 KiB
C++
/* Copyright 2018 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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#include <math.h>
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#include "tensorflow/lite/kernels/internal/mfcc.h"
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namespace tflite {
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namespace internal {
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const double kDefaultUpperFrequencyLimit = 4000;
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const double kDefaultLowerFrequencyLimit = 20;
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const double kFilterbankFloor = 1e-12;
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const int kDefaultFilterbankChannelCount = 40;
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const int kDefaultDCTCoefficientCount = 13;
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Mfcc::Mfcc()
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: initialized_(false),
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lower_frequency_limit_(kDefaultLowerFrequencyLimit),
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upper_frequency_limit_(kDefaultUpperFrequencyLimit),
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filterbank_channel_count_(kDefaultFilterbankChannelCount),
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dct_coefficient_count_(kDefaultDCTCoefficientCount) {}
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bool Mfcc::Initialize(int input_length, double input_sample_rate) {
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bool initialized = mel_filterbank_.Initialize(
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input_length, input_sample_rate, filterbank_channel_count_,
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lower_frequency_limit_, upper_frequency_limit_);
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initialized &=
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dct_.Initialize(filterbank_channel_count_, dct_coefficient_count_);
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initialized_ = initialized;
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return initialized;
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}
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void Mfcc::Compute(const std::vector<double>& spectrogram_frame,
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std::vector<double>* output) const {
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if (!initialized_) {
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// LOG(ERROR) << "Mfcc not initialized.";
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return;
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}
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std::vector<double> working;
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mel_filterbank_.Compute(spectrogram_frame, &working);
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for (int i = 0; i < working.size(); ++i) {
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double val = working[i];
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if (val < kFilterbankFloor) {
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val = kFilterbankFloor;
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}
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working[i] = log(val);
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}
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dct_.Compute(working, output);
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}
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} // namespace internal
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} // namespace tflite
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