Convert IntelligibilityEnhancer to multi-threaded mode

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 dd5b681798be0f55620fe5a1486f1542f0aef1a4..703f115c9e6759b4d966772c0b9638fc9d1010da 100644
--- a/webrtc/modules/audio_processing/intelligibility/intelligibility_enhancer_unittest.cc
+++ b/webrtc/modules/audio_processing/intelligibility/intelligibility_enhancer_unittest.cc
@@ -201,6 +201,7 @@ const int kSamples = 1000;
 const int kSampleRate = 4000;
 const int kNumChannels = 1;
 const int kFragmentSize = kSampleRate / 100;
+const size_t kNumNoiseBins = 129;

[peah-webrtc, 2016/03/08 07:02:39]

This is a bit of a strange number of bins, I would have expected a power of 2.

[aluebs-webrtc, 2016/03/08 10:53:00]

This is only a unittest and shouldn't affect at all, but I chose that number
since it is the number of noise bins in the NS. It isn't a strange number at
all, it is the number of frequency bins (N/2+1) for a 256 block length.

 
 }  // namespace
 
@@ -208,11 +209,15 @@ class IntelligibilityEnhancerTest : public ::testing::Test {
  protected:
   IntelligibilityEnhancerTest()
       : clear_data_(kSamples), noise_data_(kSamples), orig_data_(kSamples) {
-    enh_.reset(new IntelligibilityEnhancer(kSampleRate, kNumChannels));
+    enh_.reset(new IntelligibilityEnhancer(kSampleRate,
+                                           kNumChannels,
+                                           kNumNoiseBins));
   }
 
   bool CheckUpdate() {
-    enh_.reset(new IntelligibilityEnhancer(kSampleRate, kNumChannels));
+    enh_.reset(new IntelligibilityEnhancer(kSampleRate,
+                                           kNumChannels,
+                                           kNumNoiseBins));
     float* clear_cursor = clear_data_.data();
     float* noise_cursor = noise_data_.data();
     for (int i = 0; i < kSamples; i += kFragmentSize) {