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70b775d77f
Code style improvements done in preparation for a bug fix (TODO added) which requires changes in the unit tests. Note that one expected value in the unit tests has been adjusted since the white noise generator is now instanced in each separate test and therefore, even if the seed remained the same, the generated sequences differ. Bug: webrtc:7494 Change-Id: I497513b84f50b5c66cf6241a09946ce853eb1cd2 Reviewed-on: https://webrtc-review.googlesource.com/c/src/+/214122 Commit-Queue: Alessio Bazzica <alessiob@webrtc.org> Reviewed-by: Ivo Creusen <ivoc@webrtc.org> Cr-Commit-Position: refs/heads/master@{#33636}
86 lines
3.3 KiB
C++
86 lines
3.3 KiB
C++
/*
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* Copyright (c) 2018 The WebRTC project authors. All Rights Reserved.
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*
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* Use of this source code is governed by a BSD-style license
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* that can be found in the LICENSE file in the root of the source
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* tree. An additional intellectual property rights grant can be found
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* in the file PATENTS. All contributing project authors may
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* be found in the AUTHORS file in the root of the source tree.
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*/
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#include "modules/audio_processing/agc2/signal_classifier.h"
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#include <array>
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#include <functional>
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#include <limits>
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#include "api/function_view.h"
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#include "modules/audio_processing/agc2/agc2_testing_common.h"
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#include "modules/audio_processing/logging/apm_data_dumper.h"
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#include "rtc_base/gunit.h"
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#include "rtc_base/random.h"
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namespace webrtc {
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namespace {
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constexpr int kNumIterations = 100;
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// Runs the signal classifier on audio generated by 'sample_generator'
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// for kNumIterations. Returns the number of frames classified as noise.
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float RunClassifier(rtc::FunctionView<float()> sample_generator,
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int sample_rate_hz) {
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ApmDataDumper data_dumper(0);
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SignalClassifier classifier(&data_dumper);
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std::array<float, 480> signal;
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classifier.Initialize(sample_rate_hz);
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const size_t samples_per_channel = rtc::CheckedDivExact(sample_rate_hz, 100);
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int number_of_noise_frames = 0;
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for (int i = 0; i < kNumIterations; ++i) {
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for (size_t j = 0; j < samples_per_channel; ++j) {
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signal[j] = sample_generator();
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}
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number_of_noise_frames +=
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classifier.Analyze({&signal[0], samples_per_channel}) ==
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SignalClassifier::SignalType::kStationary;
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}
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return number_of_noise_frames;
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}
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class SignalClassifierParametrization : public ::testing::TestWithParam<int> {
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protected:
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int sample_rate_hz() const { return GetParam(); }
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};
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// White random noise is stationary, but does not trigger the detector
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// every frame due to the randomness.
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TEST_P(SignalClassifierParametrization, WhiteNoise) {
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test::WhiteNoiseGenerator gen(/*min_amplitude=*/test::kMinS16,
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/*max_amplitude=*/test::kMaxS16);
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const int number_of_noise_frames = RunClassifier(gen, sample_rate_hz());
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EXPECT_GT(number_of_noise_frames, kNumIterations / 2);
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}
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// Sine curves are (very) stationary. They trigger the detector all
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// the time. Except for a few initial frames.
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TEST_P(SignalClassifierParametrization, SineTone) {
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test::SineGenerator gen(/*amplitude=*/test::kMaxS16, /*frequency_hz=*/600.0f,
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sample_rate_hz());
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const int number_of_noise_frames = RunClassifier(gen, sample_rate_hz());
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EXPECT_GE(number_of_noise_frames, kNumIterations - 5);
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}
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// Pulses are transient if they are far enough apart. They shouldn't
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// trigger the noise detector.
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TEST_P(SignalClassifierParametrization, PulseTone) {
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test::PulseGenerator gen(/*pulse_amplitude=*/test::kMaxS16,
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/*no_pulse_amplitude=*/10.0f, /*frequency_hz=*/20.0f,
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sample_rate_hz());
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const int number_of_noise_frames = RunClassifier(gen, sample_rate_hz());
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EXPECT_EQ(number_of_noise_frames, 0);
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}
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INSTANTIATE_TEST_SUITE_P(GainController2SignalClassifier,
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SignalClassifierParametrization,
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::testing::Values(8000, 16000, 32000, 48000));
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} // namespace
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} // namespace webrtc
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