| /external/webrtc/webrtc/modules/audio_processing/ |
| rms_level.cc | 42 int RMSLevel::RMS() {
49 float rms = sum_square_ / (sample_count_ * kMaxSquaredLevel); local
51 rms = 10 * log10(rms);
52 assert(rms <= 0);
53 if (rms < -kMinLevel)
54 rms = -kMinLevel;
56 rms = -rms;
58 return static_cast<int>(rms + 0.5)
[all...] |
| /external/webrtc/webrtc/modules/audio_processing/agc/ |
| utility.h | 17 double Linear2Loudness(double rms);
|
| utility.cc | 23 double Linear2Loudness(double rms) {
24 if (rms == 0)
26 return kLinear2LoudnessScale * log(rms);
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| histogram.h | 33 // Insert RMS and the corresponding activity probability.
34 void Update(double rms, double activity_probability);
53 // Find the histogram bin associated with the given |rms|.
54 int GetBinIndex(double rms);
70 // Histogram of input RMS in Q10 with |kHistSize_| bins. In each 'Update(),'
|
| agc.cc | 54 const std::vector<double>& rms = vad_.chunkwise_rms(); local
57 RTC_DCHECK_EQ(rms.size(), probabilities.size());
58 for (size_t i = 0; i < rms.size(); ++i) {
59 histogram_->Update(rms[i], probabilities[i]);
|
| histogram.cc | 50 // loudness_db = 13.5 * log10(rms);
89 void Histogram::Update(double rms, double activity_probaility) {
95 int hist_index = GetBinIndex(rms);
191 int Histogram::GetBinIndex(double rms) {
193 if (rms <= kHistBinCenters[0]) {
195 } else if (rms >= kHistBinCenters[kHistSize - 1]) {
200 double rms_log = log(rms);
206 if (rms > b) {
|
| histogram_unittest.cc | 25 double rms; member in struct:webrtc::InputOutput
65 if (io.rms < 0) {
75 hist_->Update(io.rms, io.activity_probability);
|
| /cts/suite/audio_quality/lib/src/ |
| BuiltinProcessing.cpp | 55 int64_t rms = 0; local
62 rms = (int64_t)sqrt(energy/samples);
65 if (rms < passMin) {
66 MSG("Volume %lld low compared to min %lld max %lld", rms, passMin, passMax);
68 } else if (rms <= passMax) {
69 MSG("Volume %lld OK compared to min %lld max %lld", rms, passMin, passMax);
76 LOGW("Volume %lld high compared to min %lld max %lld", rms, passMin, passMax);
80 rmsVal->setInt64(rms);
|
| /external/google-benchmark/src/ |
| complexity.h | 28 // Return a vector containing the bigO and RMS information for the specified
36 // - rms : Normalized Root Mean Squared Error.
43 LeastSq() : coef(0.0), rms(0.0), complexity(oNone) {}
46 double rms; member in struct:benchmark::LeastSq
|
| complexity.cc | 99 // Calculate RMS
100 double rms = 0.0;
103 rms += pow((time[i] - fit), 2);
106 // Normalized RMS by the mean of the observed values
108 result.rms = sqrt(rms / n.size()) / mean;
139 if (current_fit.rms < best_fit.rms) {
195 // time unit multiplier. But since RMS is a relative quantity it
202 Run rms;
[all...] |
| /external/libcxx/utils/google-benchmark/src/ |
| complexity.h | 28 // Return a vector containing the bigO and RMS information for the specified
36 // - rms : Normalized Root Mean Squared Error.
43 LeastSq() : coef(0.0), rms(0.0), complexity(oNone) {}
46 double rms; member in struct:benchmark::LeastSq
|
| complexity.cc | 99 // Calculate RMS
100 double rms = 0.0;
103 rms += pow((time[i] - fit), 2);
106 // Normalized RMS by the mean of the observed values
108 result.rms = sqrt(rms / n.size()) / mean;
139 if (current_fit.rms < best_fit.rms) {
195 // time unit multiplier. But since RMS is a relative quantity it
202 Run rms;
[all...] |
| /external/webrtc/webrtc/modules/audio_processing/vad/ |
| common.h | 22 double rms[kMaxNumFrames]; member in struct:AudioFeatures
|
| voice_activity_detector.cc | 62 std::copy(features_.rms, features_.rms + chunkwise_rms_.size(),
|
| vad_audio_proc.cc | 102 Rms(features->rms, kMaxNumFrames);
104 if (features->rms[i] < kSilenceRms) {
264 void VadAudioProc::Rms(double* rms, size_t length_rms) {
268 rms[i] = 0;
270 rms[i] += audio_buffer_[offset] * audio_buffer_[offset];
271 rms[i] = sqrt(rms[i] / kNumSubframeSamples);
|
| /prebuilts/ndk/r16/sources/cxx-stl/llvm-libc++/utils/google-benchmark/src/ |
| complexity.h | 35 // Return a vector containing the bigO and RMS information for the specified
43 // - rms : Normalized Root Mean Squared Error.
50 LeastSq() : coef(0.0), rms(0.0), complexity(oNone) {}
53 double rms; member in struct:benchmark::LeastSq
|
| complexity.cc | 100 // Calculate RMS
101 double rms = 0.0;
104 rms += pow((time[i] - fit), 2);
107 // Normalized RMS by the mean of the observed values
109 result.rms = sqrt(rms / n.size()) / mean;
140 if (current_fit.rms < best_fit.rms) {
299 // time unit multiplier. But since RMS is a relative quantity it
306 Run rms;
[all...] |
| /cts/apps/CtsVerifier/src/com/android/cts/verifier/audio/ |
| Correlation.java | 60 double rms = 0; local
64 rms += mDataAutocorrelated[i]*mDataAutocorrelated[i];
71 rms = Math.sqrt(rms/mDataAutocorrelated.length);
76 log(String.format(" average : %.3f rms: %.3f", average, rms));
82 double raw = (rms-average) /(factor*average);
|
| /external/tensorflow/tensorflow/python/training/ |
| rmsprop.py | 116 v.dtype.base_dtype, "rms",
131 rms = self.get_slot(var, "rms")
138 rms,
149 rms,
159 rms = self.get_slot(var, "rms")
166 rms.handle,
177 rms.handle,
187 rms = self.get_slot(var, "rms"
[all...] |
| /external/jacoco/org.jacoco.core.test/src/org/jacoco/core/test/perf/ |
| PerfOutputWriter.java | 49 final double rms = (double) reference / 1000000; local
50 writeResult(description, dms, rms, "%.2f", "ms");
|
| /external/drrickorang/LoopbackApp/app/src/main/java/org/drrickorang/loopback/ |
| Correlation.java | 77 double rms = 0; local
82 rms += mDataAutocorrelated[i] * mDataAutocorrelated[i];
89 rms = Math.sqrt(rms / mDataAutocorrelated.length);
93 log(String.format(" average : %.3f rms: %.3f", average, rms));
96 mRms = rms;
102 double raw = (rms - average) / (factor * average);
|
| /external/libopus/src/ |
| mlp_train.c | 118 double rms=0; local
163 rms += error[i]*error[i];
186 return rms;
203 double rms; member in struct:GradientArg
223 arg->rms = compute_gradient(arg->net, arg->inputs, arg->outputs, arg->nbSamples, arg->W0_grad, arg->W1_grad, arg->error_rate);
294 double rms=0; local
305 rms += args[i].rms;
315 rms = (rms/(outDim*nbSamples))
427 float rms; local
[all...] |
| /external/tensorflow/tensorflow/contrib/bayesflow/python/ops/ |
| sgld_optimizer.py | 150 v.dtype, 'rms', self._name)
165 rms = self.get_slot(var, 'rms')
168 self._update_momentum(rms, grad, math_ops.cast(self._decay_tensor,
170 new_grad = self._apply_noisy_update(rms, grad)
179 rms = self.get_slot(var, 'rms')
182 self._update_momentum(rms, grad, math_ops.cast(self._decay_tensor,
184 new_grad = self._apply_noisy_update(rms, grad)
|
| /external/autotest/client/site_tests/accessibility_ChromeVoxSound/ |
| accessibility_ChromeVoxSound.py | 45 rms = self._rms_of_next_audio_chunk()
46 if rms > 0:
75 return vars(stat_output)['rms']
|
| /prebuilts/go/darwin-x86/src/math/cmplx/ |
| asin.go | 44 // arithmetic domain # trials peak rms
82 // arithmetic domain # trials peak rms
127 // arithmetic domain # trials peak rms
131 // had peak relative error 1.5e-16, rms relative error
|
