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

webrtc/modules/audio_processing/intelligibility/intelligibility_utils_unittest.cc

Index: webrtc/modules/audio_processing/intelligibility/intelligibility_utils_unittest.cc
diff --git a/webrtc/modules/audio_processing/intelligibility/intelligibility_utils_unittest.cc b/webrtc/modules/audio_processing/intelligibility/intelligibility_utils_unittest.cc
index 42fae582830fd245b5fc9cc415c0adfc43cadc9d..2a7a830c444d1bb0ca1cc06ffd5047148aab394a 100644
--- a/webrtc/modules/audio_processing/intelligibility/intelligibility_utils_unittest.cc
+++ b/webrtc/modules/audio_processing/intelligibility/intelligibility_utils_unittest.cc
@@ -38,16 +38,15 @@ TEST(IntelligibilityUtilsTest, TestPowerEstimator) {
   const std::vector<std::vector<std::complex<float>>> test_data(
       GenerateTestData(kFreqs, kSamples));
   PowerEstimator power_estimator(kFreqs, kDecay);
-  EXPECT_EQ(0, power_estimator.Power()[0]);
+  EXPECT_EQ(0, power_estimator.power()[0]);
 
   // Makes sure Step is doing something.
   power_estimator.Step(&test_data[0][0]);
   for (size_t i = 1; i < kSamples; ++i) {
     power_estimator.Step(&test_data[i][0]);
     for (size_t j = 0; j < kFreqs; ++j) {
-      const float* power = power_estimator.Power();
-      EXPECT_GE(power[j], 0.f);
-      EXPECT_LE(power[j], 1.f);
+      EXPECT_GE(power_estimator.power()[j], 0.f);
+      EXPECT_LE(power_estimator.power()[j], 1.f);
     }
   }
 }