Use VAD to get a better speech power estimation in the IntelligibilityEnhancer

webrtc/modules/audio_processing/intelligibility/intelligibility_enhancer_unittest.cc

Index: webrtc/modules/audio_processing/intelligibility/intelligibility_enhancer_unittest.cc
diff --git a/webrtc/modules/audio_processing/intelligibility/intelligibility_enhancer_unittest.cc b/webrtc/modules/audio_processing/intelligibility/intelligibility_enhancer_unittest.cc
index ab071258ad2658fe34e9d267c77e3c921bb5b3b3..669a7c9ae27ea247b12eaafd7756aa080ce90bc6 100644
--- a/webrtc/modules/audio_processing/intelligibility/intelligibility_enhancer_unittest.cc
+++ b/webrtc/modules/audio_processing/intelligibility/intelligibility_enhancer_unittest.cc
@@ -81,13 +81,11 @@ class IntelligibilityEnhancerTest : public ::testing::Test {
  protected:
   IntelligibilityEnhancerTest()
       : clear_data_(kSamples), noise_data_(kSamples), orig_data_(kSamples) {
-    config_.sample_rate_hz = kSampleRate;
-    enh_.reset(new IntelligibilityEnhancer(config_));
+    enh_.reset(new IntelligibilityEnhancer(kSampleRate, kNumChannels));
   }
 
   bool CheckUpdate() {
-    config_.sample_rate_hz = kSampleRate;
-    enh_.reset(new IntelligibilityEnhancer(config_));
+    enh_.reset(new IntelligibilityEnhancer(kSampleRate, kNumChannels));
     float* clear_cursor = &clear_data_[0];
     float* noise_cursor = &noise_data_[0];
     for (int i = 0; i < kSamples; i += kFragmentSize) {
@@ -103,7 +101,6 @@ class IntelligibilityEnhancerTest : public ::testing::Test {
     return false;
   }
 
-  IntelligibilityEnhancer::Config config_;
   rtc::scoped_ptr<IntelligibilityEnhancer> enh_;
   std::vector<float> clear_data_;
   std::vector<float> noise_data_;