diff options
Diffstat (limited to 'webrtc/modules/audio_processing/agc2/signal_classifier.cc')
-rw-r--r-- | webrtc/modules/audio_processing/agc2/signal_classifier.cc | 177 |
1 files changed, 177 insertions, 0 deletions
diff --git a/webrtc/modules/audio_processing/agc2/signal_classifier.cc b/webrtc/modules/audio_processing/agc2/signal_classifier.cc new file mode 100644 index 0000000..a06413d --- /dev/null +++ b/webrtc/modules/audio_processing/agc2/signal_classifier.cc @@ -0,0 +1,177 @@ +/* + * Copyright (c) 2016 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/signal_classifier.h" + +#include <algorithm> +#include <numeric> +#include <vector> + +#include "api/array_view.h" +#include "modules/audio_processing/agc2/down_sampler.h" +#include "modules/audio_processing/agc2/noise_spectrum_estimator.h" +#include "modules/audio_processing/logging/apm_data_dumper.h" +#include "rtc_base/checks.h" +#include "system_wrappers/include/cpu_features_wrapper.h" + +namespace webrtc { +namespace { + +bool IsSse2Available() { +#if defined(WEBRTC_ARCH_X86_FAMILY) + return GetCPUInfo(kSSE2) != 0; +#else + return false; +#endif +} + +void RemoveDcLevel(rtc::ArrayView<float> x) { + RTC_DCHECK_LT(0, x.size()); + float mean = std::accumulate(x.data(), x.data() + x.size(), 0.f); + mean /= x.size(); + + for (float& v : x) { + v -= mean; + } +} + +void PowerSpectrum(const OouraFft* ooura_fft, + rtc::ArrayView<const float> x, + rtc::ArrayView<float> spectrum) { + RTC_DCHECK_EQ(65, spectrum.size()); + RTC_DCHECK_EQ(128, x.size()); + float X[128]; + std::copy(x.data(), x.data() + x.size(), X); + ooura_fft->Fft(X); + + float* X_p = X; + RTC_DCHECK_EQ(X_p, &X[0]); + spectrum[0] = (*X_p) * (*X_p); + ++X_p; + RTC_DCHECK_EQ(X_p, &X[1]); + spectrum[64] = (*X_p) * (*X_p); + for (int k = 1; k < 64; ++k) { + ++X_p; + RTC_DCHECK_EQ(X_p, &X[2 * k]); + spectrum[k] = (*X_p) * (*X_p); + ++X_p; + RTC_DCHECK_EQ(X_p, &X[2 * k + 1]); + spectrum[k] += (*X_p) * (*X_p); + } +} + +webrtc::SignalClassifier::SignalType ClassifySignal( + rtc::ArrayView<const float> signal_spectrum, + rtc::ArrayView<const float> noise_spectrum, + ApmDataDumper* data_dumper) { + int num_stationary_bands = 0; + int num_highly_nonstationary_bands = 0; + + // Detect stationary and highly nonstationary bands. + for (size_t k = 1; k < 40; k++) { + if (signal_spectrum[k] < 3 * noise_spectrum[k] && + signal_spectrum[k] * 3 > noise_spectrum[k]) { + ++num_stationary_bands; + } else if (signal_spectrum[k] > 9 * noise_spectrum[k]) { + ++num_highly_nonstationary_bands; + } + } + + data_dumper->DumpRaw("lc_num_stationary_bands", 1, &num_stationary_bands); + data_dumper->DumpRaw("lc_num_highly_nonstationary_bands", 1, + &num_highly_nonstationary_bands); + + // Use the detected number of bands to classify the overall signal + // stationarity. + if (num_stationary_bands > 15) { + return SignalClassifier::SignalType::kStationary; + } else { + return SignalClassifier::SignalType::kNonStationary; + } +} + +} // namespace + +SignalClassifier::FrameExtender::FrameExtender(size_t frame_size, + size_t extended_frame_size) + : x_old_(extended_frame_size - frame_size, 0.f) {} + +SignalClassifier::FrameExtender::~FrameExtender() = default; + +void SignalClassifier::FrameExtender::ExtendFrame( + rtc::ArrayView<const float> x, + rtc::ArrayView<float> x_extended) { + RTC_DCHECK_EQ(x_old_.size() + x.size(), x_extended.size()); + std::copy(x_old_.data(), x_old_.data() + x_old_.size(), x_extended.data()); + std::copy(x.data(), x.data() + x.size(), x_extended.data() + x_old_.size()); + std::copy(x_extended.data() + x_extended.size() - x_old_.size(), + x_extended.data() + x_extended.size(), x_old_.data()); +} + +SignalClassifier::SignalClassifier(ApmDataDumper* data_dumper) + : data_dumper_(data_dumper), + down_sampler_(data_dumper_), + noise_spectrum_estimator_(data_dumper_), + ooura_fft_(IsSse2Available()) { + Initialize(48000); +} +SignalClassifier::~SignalClassifier() {} + +void SignalClassifier::Initialize(int sample_rate_hz) { + down_sampler_.Initialize(sample_rate_hz); + noise_spectrum_estimator_.Initialize(); + frame_extender_.reset(new FrameExtender(80, 128)); + sample_rate_hz_ = sample_rate_hz; + initialization_frames_left_ = 2; + consistent_classification_counter_ = 3; + last_signal_type_ = SignalClassifier::SignalType::kNonStationary; +} + +SignalClassifier::SignalType SignalClassifier::Analyze( + rtc::ArrayView<const float> signal) { + RTC_DCHECK_EQ(signal.size(), sample_rate_hz_ / 100); + + // Compute the signal power spectrum. + float downsampled_frame[80]; + down_sampler_.DownSample(signal, downsampled_frame); + float extended_frame[128]; + frame_extender_->ExtendFrame(downsampled_frame, extended_frame); + RemoveDcLevel(extended_frame); + float signal_spectrum[65]; + PowerSpectrum(&ooura_fft_, extended_frame, signal_spectrum); + + // Classify the signal based on the estimate of the noise spectrum and the + // signal spectrum estimate. + const SignalType signal_type = ClassifySignal( + signal_spectrum, noise_spectrum_estimator_.GetNoiseSpectrum(), + data_dumper_); + + // Update the noise spectrum based on the signal spectrum. + noise_spectrum_estimator_.Update(signal_spectrum, + initialization_frames_left_ > 0); + + // Update the number of frames until a reliable signal spectrum is achieved. + initialization_frames_left_ = std::max(0, initialization_frames_left_ - 1); + + if (last_signal_type_ == signal_type) { + consistent_classification_counter_ = + std::max(0, consistent_classification_counter_ - 1); + } else { + last_signal_type_ = signal_type; + consistent_classification_counter_ = 3; + } + + if (consistent_classification_counter_ > 0) { + return SignalClassifier::SignalType::kNonStationary; + } + return signal_type; +} + +} // namespace webrtc |