| /external/webrtc/modules/audio_processing/ns/ |
| D | signal_model_estimator.cc | 25 rtc::ArrayView<const float, kFftSizeBy2Plus1> signal_spectrum, in ComputeSpectralDiff() argument
45 float signal_diff = signal_spectrum[i] - signal_average; in ComputeSpectralDiff()
64 rtc::ArrayView<const float, kFftSizeBy2Plus1> signal_spectrum, in UpdateSpectralFlatness() argument
74 if (signal_spectrum[i] == 0.f) { in UpdateSpectralFlatness()
81 avg_spect_flatness_num += LogApproximation(signal_spectrum[i]); in UpdateSpectralFlatness()
84 float avg_spect_flatness_denom = signal_spectral_sum - signal_spectrum[0]; in UpdateSpectralFlatness()
135 rtc::ArrayView<const float, kFftSizeBy2Plus1> signal_spectrum, in Update() argument
139 UpdateSpectralFlatness(signal_spectrum, signal_spectral_sum, in Update()
144 ComputeSpectralDiff(conservative_noise_spectrum, signal_spectrum, in Update()
|
| D | noise_suppressor.cc | 150 rtc::ArrayView<float, kFftSizeBy2Plus1> signal_spectrum) { in ComputeMagnitudeSpectrum() argument
151 signal_spectrum[0] = fabsf(real[0]) + 1.f; in ComputeMagnitudeSpectrum()
152 signal_spectrum[kFftSizeBy2Plus1 - 1] = in ComputeMagnitudeSpectrum()
156 signal_spectrum[i] = in ComputeMagnitudeSpectrum()
164 rtc::ArrayView<const float> signal_spectrum, in ComputeSnr() argument
175 if (signal_spectrum[i] > noise_spectrum[i]) { in ComputeSnr()
176 post_snr[i] = signal_spectrum[i] / (noise_spectrum[i] + 0.0001f) - 1.f; in ComputeSnr()
192 rtc::ArrayView<const float, kFftSizeBy2Plus1> signal_spectrum) { in ComputeUpperBandsGain() argument
215 sum_processing_spectrum += signal_spectrum[i]; in ComputeUpperBandsGain()
340 std::array<float, kFftSizeBy2Plus1> signal_spectrum; in Analyze() local
[all …]
|
| D | wiener_filter.cc | 35 rtc::ArrayView<const float, kFftSizeBy2Plus1> signal_spectrum) { in Update() argument
43 if (signal_spectrum[i] > noise_spectrum[i]) { in Update()
44 current_tsa = signal_spectrum[i] / (noise_spectrum[i] + 0.0001f) - 1.f; in Update()
60 initial_spectral_estimate_[i] += signal_spectrum[i]; in Update()
79 std::copy(signal_spectrum.begin(), signal_spectrum.end(), in Update()
|
| D | noise_estimator.cc | 61 rtc::ArrayView<const float, kFftSizeBy2Plus1> signal_spectrum, in PreUpdate() argument
63 quantile_noise_estimator_.Estimate(signal_spectrum, noise_spectrum_); in PreUpdate()
76 float log_signal = LogApproximation(signal_spectrum[i]); in PreUpdate()
151 rtc::ArrayView<const float, kFftSizeBy2Plus1> signal_spectrum) { in PostUpdate() argument
164 (1.f - gamma) * (prob_non_speech * signal_spectrum[i] + in PostUpdate()
177 0.05f * (signal_spectrum[i] - conservative_noise_spectrum_[i]); in PostUpdate()
186 (1.f - gamma) * (prob_non_speech * signal_spectrum[i] + in PostUpdate()
|
| D | noise_estimator.h | 34 rtc::ArrayView<const float, kFftSizeBy2Plus1> signal_spectrum,
40 rtc::ArrayView<const float, kFftSizeBy2Plus1> signal_spectrum);
|
| D | quantile_noise_estimator.cc | 31 rtc::ArrayView<const float, kFftSizeBy2Plus1> signal_spectrum, in Estimate() argument
34 LogApproximation(signal_spectrum, log_spectrum); in Estimate()
|
| D | speech_probability_estimator.cc | 30 rtc::ArrayView<const float, kFftSizeBy2Plus1> signal_spectrum, in Update() argument
39 conservative_noise_spectrum, signal_spectrum, in Update()
|
| D | quantile_noise_estimator.h | 32 void Estimate(rtc::ArrayView<const float, kFftSizeBy2Plus1> signal_spectrum,
|
| D | speech_probability_estimator.h | 36 rtc::ArrayView<const float, kFftSizeBy2Plus1> signal_spectrum,
|
| D | signal_model_estimator.h | 38 rtc::ArrayView<const float, kFftSizeBy2Plus1> signal_spectrum,
|
| D | wiener_filter.h | 35 rtc::ArrayView<const float, kFftSizeBy2Plus1> signal_spectrum);
|
| /external/webrtc/modules/audio_processing/agc2/ |
| D | signal_classifier.cc | 71 rtc::ArrayView<const float> signal_spectrum, in ClassifySignal() argument
79 if (signal_spectrum[k] < 3 * noise_spectrum[k] && in ClassifySignal()
80 signal_spectrum[k] * 3 > noise_spectrum[k]) { in ClassifySignal()
82 } else if (signal_spectrum[k] > 9 * noise_spectrum[k]) { in ClassifySignal()
147 float signal_spectrum[65]; in Analyze() local
148 PowerSpectrum(&ooura_fft_, extended_frame, signal_spectrum); in Analyze()
153 signal_spectrum, noise_spectrum_estimator_.GetNoiseSpectrum(), in Analyze()
157 noise_spectrum_estimator_.Update(signal_spectrum, in Analyze()
|