1 /* 2 * Copyright (c) 2012 The WebRTC project authors. All Rights Reserved. 3 * 4 * Use of this source code is governed by a BSD-style license 5 * that can be found in the LICENSE file in the root of the source 6 * tree. An additional intellectual property rights grant can be found 7 * in the file PATENTS. All contributing project authors may 8 * be found in the AUTHORS file in the root of the source tree. 9 */ 10 11 #include "webrtc/modules/audio_processing/vad/gmm.h" 12 13 #include <math.h> 14 15 #include "testing/gtest/include/gtest/gtest.h" 16 #include "webrtc/modules/audio_processing/vad/noise_gmm_tables.h" 17 #include "webrtc/modules/audio_processing/vad/voice_gmm_tables.h" 18 19 namespace webrtc { 20 21 TEST(GmmTest, EvaluateGmm) { 22 GmmParameters noise_gmm; 23 GmmParameters voice_gmm; 24 25 // Setup noise GMM. 26 noise_gmm.dimension = kNoiseGmmDim; 27 noise_gmm.num_mixtures = kNoiseGmmNumMixtures; 28 noise_gmm.weight = kNoiseGmmWeights; 29 noise_gmm.mean = &kNoiseGmmMean[0][0]; 30 noise_gmm.covar_inverse = &kNoiseGmmCovarInverse[0][0][0]; 31 32 // Setup voice GMM. 33 voice_gmm.dimension = kVoiceGmmDim; 34 voice_gmm.num_mixtures = kVoiceGmmNumMixtures; 35 voice_gmm.weight = kVoiceGmmWeights; 36 voice_gmm.mean = &kVoiceGmmMean[0][0]; 37 voice_gmm.covar_inverse = &kVoiceGmmCovarInverse[0][0][0]; 38 39 // Test vectors. These are the mean of the GMM means. 40 const double kXVoice[kVoiceGmmDim] = { 41 -1.35893162459863, 602.862491970368, 178.022069191324}; 42 const double kXNoise[kNoiseGmmDim] = { 43 -2.33443722724409, 2827.97828765184, 141.114178166812}; 44 45 // Expected pdf values. These values are computed in MATLAB using EvalGmm.m 46 const double kPdfNoise = 1.88904409403101e-07; 47 const double kPdfVoice = 1.30453996982266e-06; 48 49 // Relative error should be smaller that the following value. 50 const double kAcceptedRelativeErr = 1e-10; 51 52 // Test Voice. 53 double pdf = EvaluateGmm(kXVoice, voice_gmm); 54 EXPECT_GT(pdf, 0); 55 double relative_error = fabs(pdf - kPdfVoice) / kPdfVoice; 56 EXPECT_LE(relative_error, kAcceptedRelativeErr); 57 58 // Test Noise. 59 pdf = EvaluateGmm(kXNoise, noise_gmm); 60 EXPECT_GT(pdf, 0); 61 relative_error = fabs(pdf - kPdfNoise) / kPdfNoise; 62 EXPECT_LE(relative_error, kAcceptedRelativeErr); 63 } 64 65 } // namespace webrtc 66
