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author | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-04-19 00:47:55 +0000 |
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committer | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-04-19 00:47:55 +0000 |
commit | 26a029d407be480d791972afb5975cf62c9360a6 (patch) | |
tree | f435a8308119effd964b339f76abb83a57c29483 /third_party/libwebrtc/modules/audio_processing/vad/gmm_unittest.cc | |
parent | Initial commit. (diff) | |
download | firefox-26a029d407be480d791972afb5975cf62c9360a6.tar.xz firefox-26a029d407be480d791972afb5975cf62c9360a6.zip |
Adding upstream version 124.0.1.upstream/124.0.1
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to 'third_party/libwebrtc/modules/audio_processing/vad/gmm_unittest.cc')
-rw-r--r-- | third_party/libwebrtc/modules/audio_processing/vad/gmm_unittest.cc | 65 |
1 files changed, 65 insertions, 0 deletions
diff --git a/third_party/libwebrtc/modules/audio_processing/vad/gmm_unittest.cc b/third_party/libwebrtc/modules/audio_processing/vad/gmm_unittest.cc new file mode 100644 index 0000000000..d895afab7b --- /dev/null +++ b/third_party/libwebrtc/modules/audio_processing/vad/gmm_unittest.cc @@ -0,0 +1,65 @@ +/* + * Copyright (c) 2012 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/vad/gmm.h" + +#include <math.h> + +#include "modules/audio_processing/vad/noise_gmm_tables.h" +#include "modules/audio_processing/vad/voice_gmm_tables.h" +#include "test/gtest.h" + +namespace webrtc { + +TEST(GmmTest, EvaluateGmm) { + GmmParameters noise_gmm; + GmmParameters voice_gmm; + + // Setup noise GMM. + noise_gmm.dimension = kNoiseGmmDim; + noise_gmm.num_mixtures = kNoiseGmmNumMixtures; + noise_gmm.weight = kNoiseGmmWeights; + noise_gmm.mean = &kNoiseGmmMean[0][0]; + noise_gmm.covar_inverse = &kNoiseGmmCovarInverse[0][0][0]; + + // Setup voice GMM. + voice_gmm.dimension = kVoiceGmmDim; + voice_gmm.num_mixtures = kVoiceGmmNumMixtures; + voice_gmm.weight = kVoiceGmmWeights; + voice_gmm.mean = &kVoiceGmmMean[0][0]; + voice_gmm.covar_inverse = &kVoiceGmmCovarInverse[0][0][0]; + + // Test vectors. These are the mean of the GMM means. + const double kXVoice[kVoiceGmmDim] = {-1.35893162459863, 602.862491970368, + 178.022069191324}; + const double kXNoise[kNoiseGmmDim] = {-2.33443722724409, 2827.97828765184, + 141.114178166812}; + + // Expected pdf values. These values are computed in MATLAB using EvalGmm.m + const double kPdfNoise = 1.88904409403101e-07; + const double kPdfVoice = 1.30453996982266e-06; + + // Relative error should be smaller that the following value. + const double kAcceptedRelativeErr = 1e-10; + + // Test Voice. + double pdf = EvaluateGmm(kXVoice, voice_gmm); + EXPECT_GT(pdf, 0); + double relative_error = fabs(pdf - kPdfVoice) / kPdfVoice; + EXPECT_LE(relative_error, kAcceptedRelativeErr); + + // Test Noise. + pdf = EvaluateGmm(kXNoise, noise_gmm); + EXPECT_GT(pdf, 0); + relative_error = fabs(pdf - kPdfNoise) / kPdfNoise; + EXPECT_LE(relative_error, kAcceptedRelativeErr); +} + +} // namespace webrtc |