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/*
* Copyright (c) 2018 The WebRTC project authors. All Rights Reserved.
*
* Use of this source code is governed by a BSD-style license
* that can be found in the LICENSE file in the root of the source
* tree. An additional intellectual property rights grant can be found
* in the file PATENTS. All contributing project authors may
* be found in the AUTHORS file in the root of the source tree.
*/
#include "modules/audio_processing/agc2/vad_wrapper.h"
#include <array>
#include <utility>
#include "api/array_view.h"
#include "common_audio/resampler/include/push_resampler.h"
#include "modules/audio_processing/agc2/agc2_common.h"
#include "modules/audio_processing/agc2/rnn_vad/common.h"
#include "modules/audio_processing/agc2/rnn_vad/features_extraction.h"
#include "modules/audio_processing/agc2/rnn_vad/rnn.h"
#include "rtc_base/checks.h"
namespace webrtc {
namespace {
constexpr int kNumFramesPerSecond = 100;
class MonoVadImpl : public VoiceActivityDetectorWrapper::MonoVad {
public:
explicit MonoVadImpl(const AvailableCpuFeatures& cpu_features)
: features_extractor_(cpu_features), rnn_vad_(cpu_features) {}
MonoVadImpl(const MonoVadImpl&) = delete;
MonoVadImpl& operator=(const MonoVadImpl&) = delete;
~MonoVadImpl() = default;
int SampleRateHz() const override { return rnn_vad::kSampleRate24kHz; }
void Reset() override { rnn_vad_.Reset(); }
float Analyze(rtc::ArrayView<const float> frame) override {
RTC_DCHECK_EQ(frame.size(), rnn_vad::kFrameSize10ms24kHz);
std::array<float, rnn_vad::kFeatureVectorSize> feature_vector;
const bool is_silence = features_extractor_.CheckSilenceComputeFeatures(
/*samples=*/{frame.data(), rnn_vad::kFrameSize10ms24kHz},
feature_vector);
return rnn_vad_.ComputeVadProbability(feature_vector, is_silence);
}
private:
rnn_vad::FeaturesExtractor features_extractor_;
rnn_vad::RnnVad rnn_vad_;
};
} // namespace
VoiceActivityDetectorWrapper::VoiceActivityDetectorWrapper(
const AvailableCpuFeatures& cpu_features,
int sample_rate_hz)
: VoiceActivityDetectorWrapper(kVadResetPeriodMs,
cpu_features,
sample_rate_hz) {}
VoiceActivityDetectorWrapper::VoiceActivityDetectorWrapper(
int vad_reset_period_ms,
const AvailableCpuFeatures& cpu_features,
int sample_rate_hz)
: VoiceActivityDetectorWrapper(vad_reset_period_ms,
std::make_unique<MonoVadImpl>(cpu_features),
sample_rate_hz) {}
VoiceActivityDetectorWrapper::VoiceActivityDetectorWrapper(
int vad_reset_period_ms,
std::unique_ptr<MonoVad> vad,
int sample_rate_hz)
: vad_reset_period_frames_(
rtc::CheckedDivExact(vad_reset_period_ms, kFrameDurationMs)),
time_to_vad_reset_(vad_reset_period_frames_),
vad_(std::move(vad)) {
RTC_DCHECK(vad_);
RTC_DCHECK_GT(vad_reset_period_frames_, 1);
resampled_buffer_.resize(
rtc::CheckedDivExact(vad_->SampleRateHz(), kNumFramesPerSecond));
Initialize(sample_rate_hz);
}
VoiceActivityDetectorWrapper::~VoiceActivityDetectorWrapper() = default;
void VoiceActivityDetectorWrapper::Initialize(int sample_rate_hz) {
RTC_DCHECK_GT(sample_rate_hz, 0);
frame_size_ = rtc::CheckedDivExact(sample_rate_hz, kNumFramesPerSecond);
int status =
resampler_.InitializeIfNeeded(sample_rate_hz, vad_->SampleRateHz(),
/*num_channels=*/1);
constexpr int kStatusOk = 0;
RTC_DCHECK_EQ(status, kStatusOk);
vad_->Reset();
}
float VoiceActivityDetectorWrapper::Analyze(AudioFrameView<const float> frame) {
// Periodically reset the VAD.
time_to_vad_reset_--;
if (time_to_vad_reset_ <= 0) {
vad_->Reset();
time_to_vad_reset_ = vad_reset_period_frames_;
}
// Resample the first channel of `frame`.
RTC_DCHECK_EQ(frame.samples_per_channel(), frame_size_);
resampler_.Resample(frame.channel(0).data(), frame_size_,
resampled_buffer_.data(), resampled_buffer_.size());
return vad_->Analyze(resampled_buffer_);
}
} // namespace webrtc
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