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665174fdbb
Running clang-format with chromium's style guide. The goal is n-fold: * providing consistency and readability (that's what code guidelines are for) * preventing noise with presubmit checks and git cl format * building on the previous point: making it easier to automatically fix format issues * you name it Please consider using git-hyper-blame to ignore this commit. Bug: webrtc:9340 Change-Id: I694567c4cdf8cee2860958cfe82bfaf25848bb87 Reviewed-on: https://webrtc-review.googlesource.com/81185 Reviewed-by: Patrik Höglund <phoglund@webrtc.org> Cr-Commit-Position: refs/heads/master@{#23660}
65 lines
2.2 KiB
C++
65 lines
2.2 KiB
C++
/*
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* Copyright (c) 2012 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/vad/gmm.h"
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#include <math.h>
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#include "modules/audio_processing/vad/noise_gmm_tables.h"
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#include "modules/audio_processing/vad/voice_gmm_tables.h"
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#include "test/gtest.h"
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namespace webrtc {
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TEST(GmmTest, EvaluateGmm) {
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GmmParameters noise_gmm;
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GmmParameters voice_gmm;
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// Setup noise GMM.
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noise_gmm.dimension = kNoiseGmmDim;
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noise_gmm.num_mixtures = kNoiseGmmNumMixtures;
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noise_gmm.weight = kNoiseGmmWeights;
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noise_gmm.mean = &kNoiseGmmMean[0][0];
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noise_gmm.covar_inverse = &kNoiseGmmCovarInverse[0][0][0];
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// Setup voice GMM.
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voice_gmm.dimension = kVoiceGmmDim;
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voice_gmm.num_mixtures = kVoiceGmmNumMixtures;
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voice_gmm.weight = kVoiceGmmWeights;
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voice_gmm.mean = &kVoiceGmmMean[0][0];
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voice_gmm.covar_inverse = &kVoiceGmmCovarInverse[0][0][0];
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// Test vectors. These are the mean of the GMM means.
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const double kXVoice[kVoiceGmmDim] = {-1.35893162459863, 602.862491970368,
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178.022069191324};
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const double kXNoise[kNoiseGmmDim] = {-2.33443722724409, 2827.97828765184,
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141.114178166812};
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// Expected pdf values. These values are computed in MATLAB using EvalGmm.m
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const double kPdfNoise = 1.88904409403101e-07;
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const double kPdfVoice = 1.30453996982266e-06;
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// Relative error should be smaller that the following value.
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const double kAcceptedRelativeErr = 1e-10;
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// Test Voice.
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double pdf = EvaluateGmm(kXVoice, voice_gmm);
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EXPECT_GT(pdf, 0);
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double relative_error = fabs(pdf - kPdfVoice) / kPdfVoice;
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EXPECT_LE(relative_error, kAcceptedRelativeErr);
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// Test Noise.
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pdf = EvaluateGmm(kXNoise, noise_gmm);
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EXPECT_GT(pdf, 0);
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relative_error = fabs(pdf - kPdfNoise) / kPdfNoise;
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EXPECT_LE(relative_error, kAcceptedRelativeErr);
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}
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} // namespace webrtc
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