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Revert "Pull the Voice Activity Detector out from the AGC"

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This reverts commit 518c683f3e413523a458a94b533274bd7f29992d.

Breaks Linux-Asan bot
https://uberchromegw.corp.google.com/i/client.webrtc/builders/Linux%20Asan/builds/4348/steps/libjingle_peerconnection_unittest/logs/stdio

BUG=
TBR=aluebs@webrtc.org

Review URL: https://codereview.webrtc.org/1208793002.

Cr-Commit-Position: refs/heads/master@{#9503}
This commit is contained in:
Bjorn Volcker
2015-06-25 08:46:02 +02:00
parent 518c683f3e
commit 51c7cbb86a
38 changed files with 565 additions and 873 deletions
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65
webrtc/modules/audio_processing/vad/gmm_unittest.cc
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/*
* 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 "webrtc/modules/audio_processing/vad/gmm.h"
#include <math.h>
#include "testing/gtest/include/gtest/gtest.h"
#include "webrtc/modules/audio_processing/vad/noise_gmm_tables.h"
#include "webrtc/modules/audio_processing/vad/voice_gmm_tables.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