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/*
* 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 <vector>
#include "webrtc/api/array_view.h"
#include "webrtc/modules/audio_processing/audio_buffer.h"
#include "webrtc/modules/audio_processing/noise_suppression_impl.h"
#include "webrtc/modules/audio_processing/test/audio_buffer_tools.h"
#include "webrtc/modules/audio_processing/test/bitexactness_tools.h"
#include "webrtc/test/gtest.h"
namespace webrtc {
namespace {
const int kNumFramesToProcess = 1000;
// Process one frame of data and produce the output.
void ProcessOneFrame(int sample_rate_hz,
AudioBuffer* capture_buffer,
NoiseSuppressionImpl* noise_suppressor) {
if (sample_rate_hz > AudioProcessing::kSampleRate16kHz) {
capture_buffer->SplitIntoFrequencyBands();
}
noise_suppressor->AnalyzeCaptureAudio(capture_buffer);
noise_suppressor->ProcessCaptureAudio(capture_buffer);
if (sample_rate_hz > AudioProcessing::kSampleRate16kHz) {
capture_buffer->MergeFrequencyBands();
}
}
// Processes a specified amount of frames, verifies the results and reports
// any errors.
void RunBitexactnessTest(int sample_rate_hz,
size_t num_channels,
NoiseSuppressionImpl::Level level,
float speech_probability_reference,
rtc::ArrayView<const float> noise_estimate_reference,
rtc::ArrayView<const float> output_reference) {
rtc::CriticalSection crit_capture;
NoiseSuppressionImpl noise_suppressor(&crit_capture);
noise_suppressor.Initialize(num_channels, sample_rate_hz);
noise_suppressor.Enable(true);
noise_suppressor.set_level(level);
int samples_per_channel = rtc::CheckedDivExact(sample_rate_hz, 100);
const StreamConfig capture_config(sample_rate_hz, num_channels, false);
AudioBuffer capture_buffer(
capture_config.num_frames(), capture_config.num_channels(),
capture_config.num_frames(), capture_config.num_channels(),
capture_config.num_frames());
test::InputAudioFile capture_file(
test::GetApmCaptureTestVectorFileName(sample_rate_hz));
std::vector<float> capture_input(samples_per_channel * num_channels);
for (size_t frame_no = 0; frame_no < kNumFramesToProcess; ++frame_no) {
ReadFloatSamplesFromStereoFile(samples_per_channel, num_channels,
&capture_file, capture_input);
test::CopyVectorToAudioBuffer(capture_config, capture_input,
&capture_buffer);
ProcessOneFrame(sample_rate_hz, &capture_buffer, &noise_suppressor);
}
// Extract test results.
std::vector<float> capture_output;
test::ExtractVectorFromAudioBuffer(capture_config, &capture_buffer,
&capture_output);
float speech_probability = noise_suppressor.speech_probability();
std::vector<float> noise_estimate = noise_suppressor.NoiseEstimate();
const float kVectorElementErrorBound = 1.0f / 32768.0f;
EXPECT_FLOAT_EQ(speech_probability_reference, speech_probability);
EXPECT_TRUE(test::VerifyArray(noise_estimate_reference, noise_estimate,
kVectorElementErrorBound));
// Compare the output with the reference. Only the first values of the output
// from last frame processed are compared in order not having to specify all
// preceeding frames as testvectors. As the algorithm being tested has a
// memory, testing only the last frame implicitly also tests the preceeding
// frames.
EXPECT_TRUE(test::VerifyDeinterleavedArray(
capture_config.num_frames(), capture_config.num_channels(),
output_reference, capture_output, kVectorElementErrorBound));
}
} // namespace
TEST(NoiseSuppresionBitExactnessTest, Mono8kHzLow) {
#if defined(WEBRTC_ARCH_ARM64)
const float kSpeechProbabilityReference = -4.0f;
const float kNoiseEstimateReference[] =
{1432.341431f, 3321.919922f, 7677.521973f};
const float kOutputReference[] = {0.003510f, 0.004517f, 0.004669f};
#elif defined(WEBRTC_ARCH_ARM)
const float kSpeechProbabilityReference = -4.0f;
const float kNoiseEstimateReference[] =
{1432.341431f, 3321.919922f, 7677.521973f};
const float kOutputReference[] = {0.003510f, 0.004517f, 0.004669f};
#else
const float kSpeechProbabilityReference = 0.73421317f;
const float kNoiseEstimateReference[] =
{1175.266113f, 3289.305908f, 7532.991211f};
const float kOutputReference[] = {0.003263f, 0.004402f, 0.004537f};
#endif
RunBitexactnessTest(8000, 1, NoiseSuppression::Level::kLow,
kSpeechProbabilityReference, kNoiseEstimateReference,
kOutputReference);
}
TEST(NoiseSuppresionBitExactnessTest, Mono16kHzLow) {
#if defined(WEBRTC_ARCH_ARM64)
const float kSpeechProbabilityReference = -4.0f;
const float kNoiseEstimateReference[] =
{2534.461914f, 6277.638672f, 14367.499023f};
const float kOutputReference[] = {0.003449f, 0.004334f, 0.004303f};
#elif defined(WEBRTC_ARCH_ARM)
const float kSpeechProbabilityReference = -4.0f;
const float kNoiseEstimateReference[] =
{2534.461914f, 6277.638672f, 14367.499023f};
const float kOutputReference[] = {0.003449f, 0.004334f, 0.004303f};
#else
const float kSpeechProbabilityReference = 0.71672988f;
const float kNoiseEstimateReference[] =
{2151.313965f, 6509.765137f, 15658.848633f};
const float kOutputReference[] = {0.003574f, 0.004494f, 0.004499f};
#endif
RunBitexactnessTest(16000, 1, NoiseSuppression::Level::kLow,
kSpeechProbabilityReference, kNoiseEstimateReference,
kOutputReference);
}
TEST(NoiseSuppresionBitExactnessTest, Mono32kHzLow) {
#if defined(WEBRTC_ARCH_ARM64)
const float kSpeechProbabilityReference = -4.0f;
const float kNoiseEstimateReference[] =
{2540.059082f, 6317.822754f, 14440.845703f};
const float kOutputReference[] = {0.001679f, 0.002411f, 0.002594f};
#elif defined(WEBRTC_ARCH_ARM)
const float kSpeechProbabilityReference = -4.0f;
const float kNoiseEstimateReference[] =
{2540.059082f, 6317.822754f, 14440.845703f};
const float kOutputReference[] = {0.001679f, 0.002411f, 0.002594f};
#else
const float kSpeechProbabilityReference = 0.67999554f;
const float kNoiseEstimateReference[] =
{2149.780518f, 7076.936035f, 14939.945312f};
const float kOutputReference[] = {0.001221f, 0.001984f, 0.002228f};
#endif
RunBitexactnessTest(32000, 1, NoiseSuppression::Level::kLow,
kSpeechProbabilityReference, kNoiseEstimateReference,
kOutputReference);
}
TEST(NoiseSuppresionBitExactnessTest, Mono48kHzLow) {
#if defined(WEBRTC_ARCH_ARM64)
const float kSpeechProbabilityReference = -4.0f;
const float kNoiseEstimateReference[] =
{2564.605713f, 6213.656250f, 13372.284180f};
const float kOutputReference[] = {-0.013185f, -0.012769f, -0.012023f};
#elif defined(WEBRTC_ARCH_ARM)
const float kSpeechProbabilityReference = -4.0f;
const float kNoiseEstimateReference[] =
{2564.605713f, 6213.656250f, 13372.284180f};
const float kOutputReference[] = {-0.013185f, -0.012769f, -0.012023f};
#else
const float kSpeechProbabilityReference = 0.70645678f;
const float kNoiseEstimateReference[] =
{2168.783203f, 6902.895508f, 13190.677734f};
const float kOutputReference[] = {-0.013062f, -0.012657f, -0.011934f};
#endif
RunBitexactnessTest(48000, 1, NoiseSuppression::Level::kLow,
kSpeechProbabilityReference, kNoiseEstimateReference,
kOutputReference);
}
TEST(NoiseSuppresionBitExactnessTest, Stereo16kHzLow) {
#if defined(WEBRTC_ARCH_ARM64)
const float kSpeechProbabilityReference = -4.0f;
const float kNoiseEstimateReference[] =
{9992.127930f, 12689.569336f, 11589.296875f};
const float kOutputReference[] = {-0.011108f, -0.007904f, -0.012390f,
-0.002441f, 0.000855f, -0.003204f};
#elif defined(WEBRTC_ARCH_ARM)
const float kSpeechProbabilityReference = -4.0f;
const float kNoiseEstimateReference[] =
{10321.353516f, 12133.852539f, 10923.060547f};
const float kOutputReference[] = {-0.011108f, -0.007904f, -0.012390f,
-0.002472f, 0.000916f, -0.003235f};
#else
const float kSpeechProbabilityReference = 0.67230678f;
const float kNoiseEstimateReference[] =
{9771.250000f, 11329.377930f, 10503.052734f};
const float kOutputReference[] = {-0.011459f, -0.008110f, -0.012728f,
-0.002399f, 0.001018f, -0.003189f};
#endif
RunBitexactnessTest(16000, 2, NoiseSuppression::Level::kLow,
kSpeechProbabilityReference, kNoiseEstimateReference,
kOutputReference);
}
TEST(NoiseSuppresionBitExactnessTest, Mono16kHzModerate) {
#if defined(WEBRTC_ARCH_ARM64)
const float kSpeechProbabilityReference = -4.0f;
const float kNoiseEstimateReference[] =
{2057.085938f, 7601.055176f, 19666.187500f};
const float kOutputReference[] = {0.004669f, 0.005524f, 0.005432f};
#elif defined(WEBRTC_ARCH_ARM)
const float kSpeechProbabilityReference = -4.0f;
const float kNoiseEstimateReference[] =
{2244.497803f, 6864.164062f, 16726.523438f};
const float kOutputReference[] = {0.004669f, 0.005615f, 0.005585f};
#else
const float kSpeechProbabilityReference = 0.70897013f;
const float kNoiseEstimateReference[] =
{2171.490723f, 6553.567871f, 15626.562500f};
const float kOutputReference[] = {0.004513f, 0.005590f, 0.005614f};
#endif
RunBitexactnessTest(16000, 1, NoiseSuppression::Level::kModerate,
kSpeechProbabilityReference, kNoiseEstimateReference,
kOutputReference);
}
TEST(NoiseSuppresionBitExactnessTest, Mono16kHzHigh) {
#if defined(WEBRTC_ARCH_ARM64)
const float kSpeechProbabilityReference = -4.0f;
const float kNoiseEstimateReference[] =
{2095.148193f, 7698.553711f, 19689.533203f};
const float kOutputReference[] = {0.004639f, 0.005402f, 0.005310f};
#elif defined(WEBRTC_ARCH_ARM)
const float kSpeechProbabilityReference = -4.0f;
const float kNoiseEstimateReference[] =
{2282.515625f, 6984.408203f, 16920.960938f};
const float kOutputReference[] = {0.004547f, 0.005432f, 0.005402f};
#else
const float kSpeechProbabilityReference = 0.70106733f;
const float kNoiseEstimateReference[] =
{2224.968506f, 6712.025879f, 15785.087891f};
const float kOutputReference[] = {0.004394f, 0.005406f, 0.005416f};
#endif
RunBitexactnessTest(16000, 1, NoiseSuppression::Level::kHigh,
kSpeechProbabilityReference, kNoiseEstimateReference,
kOutputReference);
}
TEST(NoiseSuppresionBitExactnessTest, Mono16kHzVeryHigh) {
#if defined(WEBRTC_ARCH_ARM64)
const float kSpeechProbabilityReference = -4.0f;
const float kNoiseEstimateReference[] =
{2677.733398f, 6186.987305f, 14365.744141f};
const float kOutputReference[] = {0.004273f, 0.005127f, 0.005188f};
#elif defined(WEBRTC_ARCH_ARM)
const float kSpeechProbabilityReference = -4.0f;
const float kNoiseEstimateReference[] =
{2677.733398f, 6186.987305f, 14365.744141f};
const float kOutputReference[] = {0.004273f, 0.005127f, 0.005188f};
#else
const float kSpeechProbabilityReference = 0.70281971f;
const float kNoiseEstimateReference[] =
{2254.347900f, 6723.699707f, 15771.625977f};
const float kOutputReference[] = {0.004321f, 0.005247f, 0.005263f};
#endif
RunBitexactnessTest(16000, 1, NoiseSuppression::Level::kVeryHigh,
kSpeechProbabilityReference, kNoiseEstimateReference,
kOutputReference);
}
} // namespace webrtc