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

webrtc/modules/audio_processing/vad/voice_activity_detector_unittest.cc

Index: webrtc/modules/audio_processing/vad/voice_activity_detector_unittest.cc
diff --git a/webrtc/modules/audio_processing/vad/voice_activity_detector_unittest.cc b/webrtc/modules/audio_processing/vad/voice_activity_detector_unittest.cc
deleted file mode 100644
index 1cc0ad65646502d00325a9573c48b721943db89f..0000000000000000000000000000000000000000
--- a/webrtc/modules/audio_processing/vad/voice_activity_detector_unittest.cc
+++ /dev/null
@@ -1,168 +0,0 @@
-/*
- *  Copyright (c) 2015 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/voice_activity_detector.h"
-
-#include <algorithm>
-#include <vector>
-
-#include "testing/gtest/include/gtest/gtest.h"
-#include "webrtc/test/testsupport/fileutils.h"
-
-namespace webrtc {
-namespace {
-
-const int kStartTimeSec = 16;
-const float kMeanSpeechProbability = 0.3f;
-const float kMaxNoiseProbability = 0.07f;
-const size_t kNumChunks = 300u;
-const size_t kNumChunksPerIsacBlock = 3;
-
-void GenerateNoise(std::vector<int16_t>* data) {
-  for (size_t i = 0; i < data->size(); ++i) {
-    // std::rand returns between 0 and RAND_MAX, but this will work because it
-    // wraps into some random place.
-    (*data)[i] = std::rand();
-  }
-}
-
-}  // namespace
-
-TEST(VoiceActivityDetectorTest, ConstructorSetsDefaultValues) {
-  const float kDefaultVoiceValue = 1.f;
-
-  VoiceActivityDetector vad;
-
-  std::vector<double> p = vad.chunkwise_voice_probabilities();
-  std::vector<double> rms = vad.chunkwise_rms();
-
-  EXPECT_EQ(p.size(), 0u);
-  EXPECT_EQ(rms.size(), 0u);
-
-  EXPECT_FLOAT_EQ(vad.last_voice_probability(), kDefaultVoiceValue);
-}
-
-TEST(VoiceActivityDetectorTest, Speech16kHzHasHighVoiceProbabilities) {
-  const int kSampleRateHz = 16000;
-  const int kLength10Ms = kSampleRateHz / 100;
-
-  VoiceActivityDetector vad;
-
-  std::vector<int16_t> data(kLength10Ms);
-  float mean_probability = 0.f;
-
-  FILE* pcm_file =
-      fopen(test::ResourcePath("audio_processing/transient/audio16kHz", "pcm")
-                .c_str(),
-            "rb");
-  ASSERT_TRUE(pcm_file != nullptr);
-  // The silences in the file are skipped to get a more robust voice probability
-  // for speech.
-  ASSERT_EQ(fseek(pcm_file, kStartTimeSec * kSampleRateHz * sizeof(data[0]),
-                  SEEK_SET),
-            0);
-
-  size_t num_chunks = 0;
-  while (fread(&data[0], sizeof(data[0]), data.size(), pcm_file) ==
-         data.size()) {
-    vad.ProcessChunk(&data[0], data.size(), kSampleRateHz);
-
-    mean_probability += vad.last_voice_probability();
-
-    ++num_chunks;
-  }
-
-  mean_probability /= num_chunks;
-
-  EXPECT_GT(mean_probability, kMeanSpeechProbability);
-}
-
-TEST(VoiceActivityDetectorTest, Speech32kHzHasHighVoiceProbabilities) {
-  const int kSampleRateHz = 32000;
-  const int kLength10Ms = kSampleRateHz / 100;
-
-  VoiceActivityDetector vad;
-
-  std::vector<int16_t> data(kLength10Ms);
-  float mean_probability = 0.f;
-
-  FILE* pcm_file =
-      fopen(test::ResourcePath("audio_processing/transient/audio32kHz", "pcm")
-                .c_str(),
-            "rb");
-  ASSERT_TRUE(pcm_file != nullptr);
-  // The silences in the file are skipped to get a more robust voice probability
-  // for speech.
-  ASSERT_EQ(fseek(pcm_file, kStartTimeSec * kSampleRateHz * sizeof(data[0]),
-                  SEEK_SET),
-            0);
-
-  size_t num_chunks = 0;
-  while (fread(&data[0], sizeof(data[0]), data.size(), pcm_file) ==
-         data.size()) {
-    vad.ProcessChunk(&data[0], data.size(), kSampleRateHz);
-
-    mean_probability += vad.last_voice_probability();
-
-    ++num_chunks;
-  }
-
-  mean_probability /= num_chunks;
-
-  EXPECT_GT(mean_probability, kMeanSpeechProbability);
-}
-
-TEST(VoiceActivityDetectorTest, Noise16kHzHasLowVoiceProbabilities) {
-  VoiceActivityDetector vad;
-
-  std::vector<int16_t> data(kLength10Ms);
-  float max_probability = 0.f;
-
-  std::srand(42);
-
-  for (size_t i = 0; i < kNumChunks; ++i) {
-    GenerateNoise(&data);
-
-    vad.ProcessChunk(&data[0], data.size(), kSampleRateHz);
-
-    // Before the |vad has enough data to process an ISAC block it will return
-    // the default value, 1.f, which would ruin the |max_probability| value.
-    if (i > kNumChunksPerIsacBlock) {
-      max_probability = std::max(max_probability, vad.last_voice_probability());
-    }
-  }
-
-  EXPECT_LT(max_probability, kMaxNoiseProbability);
-}
-
-TEST(VoiceActivityDetectorTest, Noise32kHzHasLowVoiceProbabilities) {
-  VoiceActivityDetector vad;
-
-  std::vector<int16_t> data(2 * kLength10Ms);
-  float max_probability = 0.f;
-
-  std::srand(42);
-
-  for (size_t i = 0; i < kNumChunks; ++i) {
-    GenerateNoise(&data);
-
-    vad.ProcessChunk(&data[0], data.size(), 2 * kSampleRateHz);
-
-    // Before the |vad has enough data to process an ISAC block it will return
-    // the default value, 1.f, which would ruin the |max_probability| value.
-    if (i > kNumChunksPerIsacBlock) {
-      max_probability = std::max(max_probability, vad.last_voice_probability());
-    }
-  }
-
-  EXPECT_LT(max_probability, kMaxNoiseProbability);
-}
-
-}  // namespace webrtc