modules/audio_processing/noise_suppression_unittest.cc - src/webrtc - Git at Google

 /*
  *  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/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/rtc_base/array_view.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
	/*
	* 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/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/rtc_base/array_view.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