webrtc/modules/audio_processing/agc2/signal_classifier.h
Alex Loiko 4ed47d0190 Noise level estimation for AGC2.
We put back the old noise estimator from LevelController. We add a few
new unit tests. We also re-arrange the code so that it fits with how
it is used in AGC2. The differences are:

1. The NoiseLevelEstimator is now fully self-contained.
2. The NoiseLevelEstimator is responsible for calling SignalClassifier
   and computing the signal energy. Previously the signal type and
   energy were used in several places. It made sense to compute the
   values independently of the noise calculation.
3. Re-initialization doesn't have to be done by the caller.
4. The interface is AudioFrameView instead of AudioBuffer.

# Bots are green, nothing should break internal stuff
NOTRY=True

Bug: webrtc:7494
Change-Id: I442bdbbeb3796eb2518e96000aec9dc5a039ae6d
Reviewed-on: https://webrtc-review.googlesource.com/66380
Commit-Queue: Alex Loiko <aleloi@webrtc.org>
Reviewed-by: Sam Zackrisson <saza@webrtc.org>
Cr-Commit-Position: refs/heads/master@{#22738}
2018-04-04 18:23:55 +00:00

67 lines
1.9 KiB
C++

/*
* 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.
*/
#ifndef MODULES_AUDIO_PROCESSING_AGC2_SIGNAL_CLASSIFIER_H_
#define MODULES_AUDIO_PROCESSING_AGC2_SIGNAL_CLASSIFIER_H_
#include <memory>
#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/utility/ooura_fft.h"
#include "rtc_base/constructormagic.h"
namespace webrtc {
class ApmDataDumper;
class AudioBuffer;
class SignalClassifier {
public:
enum class SignalType { kNonStationary, kStationary };
explicit SignalClassifier(ApmDataDumper* data_dumper);
~SignalClassifier();
void Initialize(int sample_rate_hz);
SignalType Analyze(rtc::ArrayView<const float> signal);
private:
class FrameExtender {
public:
FrameExtender(size_t frame_size, size_t extended_frame_size);
~FrameExtender();
void ExtendFrame(rtc::ArrayView<const float> x,
rtc::ArrayView<float> x_extended);
private:
std::vector<float> x_old_;
RTC_DISALLOW_IMPLICIT_CONSTRUCTORS(FrameExtender);
};
ApmDataDumper* const data_dumper_;
DownSampler down_sampler_;
std::unique_ptr<FrameExtender> frame_extender_;
NoiseSpectrumEstimator noise_spectrum_estimator_;
int sample_rate_hz_;
int initialization_frames_left_;
int consistent_classification_counter_;
SignalType last_signal_type_;
const OouraFft ooura_fft_;
RTC_DISALLOW_IMPLICIT_CONSTRUCTORS(SignalClassifier);
};
} // namespace webrtc
#endif // MODULES_AUDIO_PROCESSING_AGC2_SIGNAL_CLASSIFIER_H_