first commit for takway.ai

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IrvingGao committed 2024-05-18 15:50:56 +08:00
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/**
* Copyright FunASR (https://github.com/alibaba-damo-academy/FunASR). All Rights Reserved.
* MIT License (https://opensource.org/licenses/MIT)
*/
#include <fstream>
#include "precomp.h"
namespace funasr {
void FsmnVadOnline::FbankKaldi(float sample_rate, std::vector<std::vector<float>> &vad_feats,
std::vector<float> &waves) {
knf::OnlineFbank fbank(fbank_opts_);
// cache merge
waves.insert(waves.begin(), input_cache_.begin(), input_cache_.end());
int frame_number = ComputeFrameNum(waves.size(), frame_sample_length_, frame_shift_sample_length_);
// Send the audio after the last frame shift position to the cache
input_cache_.clear();
input_cache_.insert(input_cache_.begin(), waves.begin() + frame_number * frame_shift_sample_length_, waves.end());
if (frame_number == 0) {
return;
}
// Delete audio that haven't undergone fbank processing
waves.erase(waves.begin() + (frame_number - 1) * frame_shift_sample_length_ + frame_sample_length_, waves.end());
std::vector<float> buf(waves.size());
for (int32_t i = 0; i != waves.size(); ++i) {
buf[i] = waves[i] * 32768;
}
fbank.AcceptWaveform(sample_rate, buf.data(), buf.size());
// fbank.AcceptWaveform(sample_rate, &waves[0], waves.size());
int32_t frames = fbank.NumFramesReady();
for (int32_t i = 0; i != frames; ++i) {
const float *frame = fbank.GetFrame(i);
vector<float> frame_vector(frame, frame + fbank_opts_.mel_opts.num_bins);
vad_feats.emplace_back(frame_vector);
}
}
void FsmnVadOnline::ExtractFeats(float sample_rate, vector<std::vector<float>> &vad_feats,
vector<float> &waves, bool input_finished) {
FbankKaldi(sample_rate, vad_feats, waves);
// cache deal & online lfr,cmvn
if (vad_feats.size() > 0) {
if (!reserve_waveforms_.empty()) {
waves.insert(waves.begin(), reserve_waveforms_.begin(), reserve_waveforms_.end());
}
if (lfr_splice_cache_.empty()) {
for (int i = 0; i < (lfr_m - 1) / 2; i++) {
lfr_splice_cache_.emplace_back(vad_feats[0]);
}
}
if (vad_feats.size() + lfr_splice_cache_.size() >= lfr_m) {
vad_feats.insert(vad_feats.begin(), lfr_splice_cache_.begin(), lfr_splice_cache_.end());
int frame_from_waves = (waves.size() - frame_sample_length_) / frame_shift_sample_length_ + 1;
int minus_frame = reserve_waveforms_.empty() ? (lfr_m - 1) / 2 : 0;
int lfr_splice_frame_idxs = OnlineLfrCmvn(vad_feats, input_finished);
int reserve_frame_idx = std::abs(lfr_splice_frame_idxs - minus_frame);
reserve_waveforms_.clear();
reserve_waveforms_.insert(reserve_waveforms_.begin(),
waves.begin() + reserve_frame_idx * frame_shift_sample_length_,
waves.begin() + frame_from_waves * frame_shift_sample_length_);
int sample_length = (frame_from_waves - 1) * frame_shift_sample_length_ + frame_sample_length_;
waves.erase(waves.begin() + sample_length, waves.end());
} else {
reserve_waveforms_.clear();
reserve_waveforms_.insert(reserve_waveforms_.begin(),
waves.begin() + frame_sample_length_ - frame_shift_sample_length_, waves.end());
lfr_splice_cache_.insert(lfr_splice_cache_.end(), vad_feats.begin(), vad_feats.end());
}
} else {
if (input_finished) {
if (!reserve_waveforms_.empty()) {
waves = reserve_waveforms_;
}
vad_feats = lfr_splice_cache_;
if(vad_feats.size() == 0){
LOG(ERROR) << "vad_feats's size is 0";
}else{
OnlineLfrCmvn(vad_feats, input_finished);
}
}
}
if(input_finished){
Reset();
ResetCache();
}
}
int FsmnVadOnline::OnlineLfrCmvn(vector<vector<float>> &vad_feats, bool input_finished) {
vector<vector<float>> out_feats;
int T = vad_feats.size();
int T_lrf = ceil((T - (lfr_m - 1) / 2) / (float)lfr_n);
int lfr_splice_frame_idxs = T_lrf;
vector<float> p;
for (int i = 0; i < T_lrf; i++) {
if (lfr_m <= T - i * lfr_n) {
for (int j = 0; j < lfr_m; j++) {
p.insert(p.end(), vad_feats[i * lfr_n + j].begin(), vad_feats[i * lfr_n + j].end());
}
out_feats.emplace_back(p);
p.clear();
} else {
if (input_finished) {
int num_padding = lfr_m - (T - i * lfr_n);
for (int j = 0; j < (vad_feats.size() - i * lfr_n); j++) {
p.insert(p.end(), vad_feats[i * lfr_n + j].begin(), vad_feats[i * lfr_n + j].end());
}
for (int j = 0; j < num_padding; j++) {
p.insert(p.end(), vad_feats[vad_feats.size() - 1].begin(), vad_feats[vad_feats.size() - 1].end());
}
out_feats.emplace_back(p);
p.clear();
} else {
lfr_splice_frame_idxs = i;
break;
}
}
}
lfr_splice_frame_idxs = std::min(T - 1, lfr_splice_frame_idxs * lfr_n);
lfr_splice_cache_.clear();
lfr_splice_cache_.insert(lfr_splice_cache_.begin(), vad_feats.begin() + lfr_splice_frame_idxs, vad_feats.end());
// Apply cmvn
for (auto &out_feat: out_feats) {
for (int j = 0; j < means_list_.size(); j++) {
out_feat[j] = (out_feat[j] + means_list_[j]) * vars_list_[j];
}
}
vad_feats = out_feats;
return lfr_splice_frame_idxs;
}
std::vector<std::vector<int>>
FsmnVadOnline::Infer(std::vector<float> &waves, bool input_finished) {
std::vector<std::vector<int>> vad_segments;
std::vector<std::vector<float>> vad_feats;
std::vector<std::vector<float>> vad_probs;
ExtractFeats(vad_sample_rate_, vad_feats, waves, input_finished);
if(vad_feats.size() == 0){
return vad_segments;
}
fsmnvad_handle_->Forward(vad_feats, &vad_probs, &in_cache_, input_finished);
if(vad_probs.size() == 0){
return vad_segments;
}
vad_segments = vad_scorer(vad_probs, waves, input_finished, true, vad_silence_duration_, vad_max_len_,
vad_speech_noise_thres_, vad_sample_rate_);
return vad_segments;
}
void FsmnVadOnline::InitCache(){
std::vector<float> cache_feats(128 * 19 * 1, 0);
for (int i=0;i<4;i++){
in_cache_.emplace_back(cache_feats);
}
};
void FsmnVadOnline::Reset(){
in_cache_.clear();
InitCache();
};
void FsmnVadOnline::Test() {
}
void FsmnVadOnline::InitOnline(std::shared_ptr<Ort::Session> &vad_session,
Ort::Env &env,
std::vector<const char *> &vad_in_names,
std::vector<const char *> &vad_out_names,
knf::FbankOptions &fbank_opts,
std::vector<float> &means_list,
std::vector<float> &vars_list,
int vad_sample_rate,
int vad_silence_duration,
int vad_max_len,
double vad_speech_noise_thres) {
vad_session_ = vad_session;
vad_in_names_ = vad_in_names;
vad_out_names_ = vad_out_names;
fbank_opts_ = fbank_opts;
means_list_ = means_list;
vars_list_ = vars_list;
vad_sample_rate_ = vad_sample_rate;
vad_silence_duration_ = vad_silence_duration;
vad_max_len_ = vad_max_len;
vad_speech_noise_thres_ = vad_speech_noise_thres;
frame_sample_length_ = vad_sample_rate_ / 1000 * 25;;
frame_shift_sample_length_ = vad_sample_rate_ / 1000 * 10;
// 2pass
audio_handle = make_unique<Audio>(vad_sample_rate,1);
}
FsmnVadOnline::~FsmnVadOnline() {
}
FsmnVadOnline::FsmnVadOnline(FsmnVad* fsmnvad_handle):fsmnvad_handle_(std::move(fsmnvad_handle)),session_options_{}{
InitCache();
InitOnline(fsmnvad_handle_->vad_session_,
fsmnvad_handle_->env_,
fsmnvad_handle_->vad_in_names_,
fsmnvad_handle_->vad_out_names_,
fsmnvad_handle_->fbank_opts_,
fsmnvad_handle_->means_list_,
fsmnvad_handle_->vars_list_,
fsmnvad_handle_->vad_sample_rate_,
fsmnvad_handle_->vad_silence_duration_,
fsmnvad_handle_->vad_max_len_,
fsmnvad_handle_->vad_speech_noise_thres_);
}
} // namespace funasr