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PaddleSpeech/runtime/engine/common/frontend/feature-fbank.cc

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/**
* Copyright (c) 2022 Xiaomi Corporation (authors: Fangjun Kuang)
*
* See LICENSE for clarification regarding multiple authors
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
// This file is copied/modified from kaldi/src/feat/feature-fbank.cc
//
#include "frontend/feature-fbank.h"
#include <cmath>
#include "frontend/feature-functions.h"
namespace knf {
static void Sqrt(float *in_out, int32_t n) {
for (int32_t i = 0; i != n; ++i) {
in_out[i] = std::sqrt(in_out[i]);
}
}
std::ostream &operator<<(std::ostream &os, const FbankOptions &opts) {
os << opts.ToString();
return os;
}
FbankComputer::FbankComputer(const FbankOptions &opts)
: opts_(opts), rfft_(opts.frame_opts.PaddedWindowSize()) {
if (opts.energy_floor > 0.0f) {
log_energy_floor_ = logf(opts.energy_floor);
}
// We'll definitely need the filterbanks info for VTLN warping factor 1.0.
// [note: this call caches it.]
GetMelBanks(1.0f);
}
FbankComputer::~FbankComputer() {
for (auto iter = mel_banks_.begin(); iter != mel_banks_.end(); ++iter)
delete iter->second;
}
const MelBanks *FbankComputer::GetMelBanks(float vtln_warp) {
MelBanks *this_mel_banks = nullptr;
// std::map<float, MelBanks *>::iterator iter = mel_banks_.find(vtln_warp);
auto iter = mel_banks_.find(vtln_warp);
if (iter == mel_banks_.end()) {
this_mel_banks =
new MelBanks(opts_.mel_opts, opts_.frame_opts, vtln_warp);
mel_banks_[vtln_warp] = this_mel_banks;
} else {
this_mel_banks = iter->second;
}
return this_mel_banks;
}
void FbankComputer::Compute(float signal_raw_log_energy,
float vtln_warp,
std::vector<float> *signal_frame,
float *feature) {
const MelBanks &mel_banks = *(GetMelBanks(vtln_warp));
CHECK_EQ(signal_frame->size(), opts_.frame_opts.PaddedWindowSize());
// Compute energy after window function (not the raw one).
if (opts_.use_energy && !opts_.raw_energy) {
signal_raw_log_energy =
std::log(std::max<float>(InnerProduct(signal_frame->data(),
signal_frame->data(),
signal_frame->size()),
std::numeric_limits<float>::epsilon()));
}
rfft_.Compute(signal_frame->data()); // signal_frame is modified in-place
ComputePowerSpectrum(signal_frame);
// Use magnitude instead of power if requested.
if (!opts_.use_power) {
Sqrt(signal_frame->data(), signal_frame->size() / 2 + 1);
}
int32_t mel_offset = ((opts_.use_energy && !opts_.htk_compat) ? 1 : 0);
// Its length is opts_.mel_opts.num_bins
float *mel_energies = feature + mel_offset;
// Sum with mel filter banks over the power spectrum
mel_banks.Compute(signal_frame->data(), mel_energies);
if (opts_.use_log_fbank) {
// Avoid log of zero (which should be prevented anyway by dithering).
for (int32_t i = 0; i != opts_.mel_opts.num_bins; ++i) {
auto t = std::max(mel_energies[i],
std::numeric_limits<float>::epsilon());
mel_energies[i] = std::log(t);
}
}
// Copy energy as first value (or the last, if htk_compat == true).
if (opts_.use_energy) {
if (opts_.energy_floor > 0.0 &&
signal_raw_log_energy < log_energy_floor_) {
signal_raw_log_energy = log_energy_floor_;
}
int32_t energy_index = opts_.htk_compat ? opts_.mel_opts.num_bins : 0;
feature[energy_index] = signal_raw_log_energy;
}
}
} // namespace knf