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

webrtc/modules/audio_processing/vad/gmm_unittest.cc

Index: webrtc/modules/audio_processing/vad/gmm_unittest.cc
diff --git a/webrtc/modules/audio_processing/vad/gmm_unittest.cc b/webrtc/modules/audio_processing/vad/gmm_unittest.cc
deleted file mode 100644
index f8e1bde776305e0d4562dc117ce4118952d64958..0000000000000000000000000000000000000000
--- a/webrtc/modules/audio_processing/vad/gmm_unittest.cc
+++ /dev/null
@@ -1,65 +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 "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