Fine tune the IntelligibilityEnhancer

webrtc/modules/audio_processing/intelligibility/intelligibility_enhancer_unittest.cc

 /*
  *  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.
  */
 
@@ skipping 391 matching lines @@
   lambda = -1.f;
   enh_->SolveForGainsGivenLambda(lambda, enh_->start_freq_, sols.data());
   for (size_t i = 0; i < enh_->bank_size_; i++) {
     EXPECT_NEAR(kTestNonZeroVarLambdaTop[i], sols[i], kMaxTestError);
   }
 }
 
 TEST_F(IntelligibilityEnhancerTest, TestNoiseGainHasExpectedResult) {
   const int kGainDB = 6;
   const float kGainFactor = std::pow(10.f, kGainDB / 20.f);
-  const float kTolerance = 0.003f;
+  const float kTolerance = 0.007f;
   std::vector<float> noise(kNumNoiseBins);
   std::vector<float> noise_psd(kNumNoiseBins);
   std::generate(noise.begin(), noise.end(), float_rand);
   for (size_t i = 0; i < kNumNoiseBins; ++i) {
     noise_psd[i] = kGainFactor * kGainFactor * noise[i] * noise[i];
   }
   float* clear_cursor = clear_data_.data();
   for (size_t i = 0; i < kNumFramesToProcess; ++i) {
     enh_->SetCaptureNoiseEstimate(noise, kGainDB);
     enh_->ProcessRenderAudio(&clear_cursor, kSampleRate, kNumChannels);
@@ skipping 52 matching lines @@
 }
 
 TEST(IntelligibilityEnhancerBitExactnessTest, DISABLED_Stereo48kHz) {
   const float kOutputReference[] = {-0.009276f, -0.001601f, -0.008255f,
                                     -0.012975f, -0.015940f, -0.017820f};
 
   RunBitexactnessTest(AudioProcessing::kSampleRate48kHz, 2, kOutputReference);
 }
 
 }  // namespace webrtc