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/*
* Copyright (c) 2014 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/transient/transient_suppressor.h"
#include <vector>
#include "absl/types/optional.h"
#include "modules/audio_processing/transient/common.h"
#include "modules/audio_processing/transient/transient_suppressor_impl.h"
#include "test/gtest.h"
namespace webrtc {
namespace {
constexpr int kMono = 1;
// Returns the index of the first non-zero sample in `samples` or an unspecified
// value if no value is zero.
absl::optional<int> FindFirstNonZeroSample(const std::vector<float>& samples) {
for (size_t i = 0; i < samples.size(); ++i) {
if (samples[i] != 0.0f) {
return i;
}
}
return absl::nullopt;
}
} // namespace
class TransientSuppressorVadModeParametrization
: public ::testing::TestWithParam<TransientSuppressor::VadMode> {};
TEST_P(TransientSuppressorVadModeParametrization,
TypingDetectionLogicWorksAsExpectedForMono) {
TransientSuppressorImpl ts(GetParam(), ts::kSampleRate16kHz,
ts::kSampleRate16kHz, kMono);
// Each key-press enables detection.
EXPECT_FALSE(ts.detection_enabled_);
ts.UpdateKeypress(true);
EXPECT_TRUE(ts.detection_enabled_);
// It takes four seconds without any key-press to disable the detection
for (int time_ms = 0; time_ms < 3990; time_ms += ts::kChunkSizeMs) {
ts.UpdateKeypress(false);
EXPECT_TRUE(ts.detection_enabled_);
}
ts.UpdateKeypress(false);
EXPECT_FALSE(ts.detection_enabled_);
// Key-presses that are more than a second apart from each other don't enable
// suppression.
for (int i = 0; i < 100; ++i) {
EXPECT_FALSE(ts.suppression_enabled_);
ts.UpdateKeypress(true);
EXPECT_TRUE(ts.detection_enabled_);
EXPECT_FALSE(ts.suppression_enabled_);
for (int time_ms = 0; time_ms < 990; time_ms += ts::kChunkSizeMs) {
ts.UpdateKeypress(false);
EXPECT_TRUE(ts.detection_enabled_);
EXPECT_FALSE(ts.suppression_enabled_);
}
ts.UpdateKeypress(false);
}
// Two consecutive key-presses is enough to enable the suppression.
ts.UpdateKeypress(true);
EXPECT_FALSE(ts.suppression_enabled_);
ts.UpdateKeypress(true);
EXPECT_TRUE(ts.suppression_enabled_);
// Key-presses that are less than a second apart from each other don't disable
// detection nor suppression.
for (int i = 0; i < 100; ++i) {
for (int time_ms = 0; time_ms < 1000; time_ms += ts::kChunkSizeMs) {
ts.UpdateKeypress(false);
EXPECT_TRUE(ts.detection_enabled_);
EXPECT_TRUE(ts.suppression_enabled_);
}
ts.UpdateKeypress(true);
EXPECT_TRUE(ts.detection_enabled_);
EXPECT_TRUE(ts.suppression_enabled_);
}
// It takes four seconds without any key-press to disable the detection and
// suppression.
for (int time_ms = 0; time_ms < 3990; time_ms += ts::kChunkSizeMs) {
ts.UpdateKeypress(false);
EXPECT_TRUE(ts.detection_enabled_);
EXPECT_TRUE(ts.suppression_enabled_);
}
for (int time_ms = 0; time_ms < 1000; time_ms += ts::kChunkSizeMs) {
ts.UpdateKeypress(false);
EXPECT_FALSE(ts.detection_enabled_);
EXPECT_FALSE(ts.suppression_enabled_);
}
}
INSTANTIATE_TEST_SUITE_P(
TransientSuppressorImplTest,
TransientSuppressorVadModeParametrization,
::testing::Values(TransientSuppressor::VadMode::kDefault,
TransientSuppressor::VadMode::kRnnVad,
TransientSuppressor::VadMode::kNoVad));
class TransientSuppressorSampleRateParametrization
: public ::testing::TestWithParam<int> {};
// Checks that voice probability and processed audio data are temporally aligned
// after `Suppress()` is called.
TEST_P(TransientSuppressorSampleRateParametrization,
CheckAudioAndVoiceProbabilityTemporallyAligned) {
const int sample_rate_hz = GetParam();
TransientSuppressorImpl ts(TransientSuppressor::VadMode::kDefault,
sample_rate_hz,
/*detection_rate_hz=*/sample_rate_hz, kMono);
const int frame_size = sample_rate_hz * ts::kChunkSizeMs / 1000;
std::vector<float> frame(frame_size);
constexpr int kMaxAttempts = 3;
for (int i = 0; i < kMaxAttempts; ++i) {
SCOPED_TRACE(i);
// Call `Suppress()` on frames of non-zero audio samples.
std::fill(frame.begin(), frame.end(), 1000.0f);
float delayed_voice_probability = ts.Suppress(
frame.data(), frame.size(), kMono, /*detection_data=*/nullptr,
/*detection_length=*/frame_size, /*reference_data=*/nullptr,
/*reference_length=*/frame_size, /*voice_probability=*/1.0f,
/*key_pressed=*/false);
// Detect the algorithmic delay of `TransientSuppressorImpl`.
absl::optional<int> frame_delay = FindFirstNonZeroSample(frame);
// Check that the delayed voice probability is delayed according to the
// measured delay.
if (frame_delay.has_value()) {
if (*frame_delay == 0) {
// When the delay is a multiple integer of the frame duration,
// `Suppress()` returns a copy of a previously observed voice
// probability value.
EXPECT_EQ(delayed_voice_probability, 1.0f);
} else {
// Instead, when the delay is fractional, `Suppress()` returns an
// interpolated value. Since the exact value depends on the
// interpolation method, we only check that the delayed voice
// probability is not zero as it must converge towards the previoulsy
// observed value.
EXPECT_GT(delayed_voice_probability, 0.0f);
}
break;
} else {
// The algorithmic delay is longer than the duration of a single frame.
// Until the delay is detected, the delayed voice probability is zero.
EXPECT_EQ(delayed_voice_probability, 0.0f);
}
}
}
INSTANTIATE_TEST_SUITE_P(TransientSuppressorImplTest,
TransientSuppressorSampleRateParametrization,
::testing::Values(ts::kSampleRate8kHz,
ts::kSampleRate16kHz,
ts::kSampleRate32kHz,
ts::kSampleRate48kHz));
} // namespace webrtc