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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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64
webrtc/modules/audio_processing/vad/gmm.cc
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@ -1,64 +0,0 @@
/*
* 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 <stdlib.h>
#include "webrtc/typedefs.h"
namespace webrtc {
static const int kMaxDimension = 10;
static void RemoveMean(const double* in,
const double* mean_vec,
int dimension,
double* out) {
for (int n = 0; n < dimension; ++n)
out[n] = in[n] - mean_vec[n];
}
static double ComputeExponent(const double* in,
const double* covar_inv,
int dimension) {
double q = 0;
for (int i = 0; i < dimension; ++i) {
double v = 0;
for (int j = 0; j < dimension; j++)
v += (*covar_inv++) * in[j];
q += v * in[i];
}
q *= -0.5;
return q;
}
double EvaluateGmm(const double* x, const GmmParameters& gmm_parameters) {
if (gmm_parameters.dimension > kMaxDimension) {
return -1; // This is invalid pdf so the caller can check this.
}
double f = 0;
double v[kMaxDimension];
const double* mean_vec = gmm_parameters.mean;
const double* covar_inv = gmm_parameters.covar_inverse;
for (int n = 0; n < gmm_parameters.num_mixtures; n++) {
RemoveMean(x, mean_vec, gmm_parameters.dimension, v);
double q = ComputeExponent(v, covar_inv, gmm_parameters.dimension) +
gmm_parameters.weight[n];
f += exp(q);
mean_vec += gmm_parameters.dimension;
covar_inv += gmm_parameters.dimension * gmm_parameters.dimension;
}
return f;
}
} // namespace webrtc