/dports/www/qt5-webengine/qtwebengine-everywhere-src-5.15.2/src/3rdparty/chromium/third_party/webrtc/modules/audio_processing/ns/ |
H A D | prior_signal_model_estimator.cc | 26 rtc::ArrayView<const int, kHistogramSize> spectral_flatness, in FindFirstOfTwoLargestPeaks() argument 42 if (spectral_flatness[i] > peak_value) { in FindFirstOfTwoLargestPeaks() 48 peak_value = spectral_flatness[i]; in FindFirstOfTwoLargestPeaks() 49 *peak_weight = spectral_flatness[i]; in FindFirstOfTwoLargestPeaks() 51 } else if (spectral_flatness[i] > secondary_peak_value) { in FindFirstOfTwoLargestPeaks() 53 secondary_peak_value = spectral_flatness[i]; in FindFirstOfTwoLargestPeaks() 54 secondary_peak_weight = spectral_flatness[i]; in FindFirstOfTwoLargestPeaks()
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H A D | signal_model_estimator.cc | 66 float* spectral_flatness) { in UpdateSpectralFlatness() argument 67 RTC_DCHECK(spectral_flatness); in UpdateSpectralFlatness() 75 *spectral_flatness -= kAveraging * (*spectral_flatness); in UpdateSpectralFlatness() 93 *spectral_flatness += kAveraging * (spectral_tmp - *spectral_flatness); in UpdateSpectralFlatness() 140 &features_.spectral_flatness); in Update()
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H A D | histograms.cc | 34 if (features_.spectral_flatness < kHistogramSize * kBinSizeSpecFlat && in Update() 35 features_.spectral_flatness >= 0.f) { in Update() 36 ++spectral_flatness_[features_.spectral_flatness * kOneByBinSizeSpecFlat]; in Update()
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H A D | speech_probability_estimator.cc | 59 width_prior = model.spectral_flatness > prior_model.flatness_threshold in Update() 66 (prior_model.flatness_threshold - model.spectral_flatness)) + in Update()
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H A D | signal_model.cc | 19 spectral_flatness = kSfFeatureThr; in SignalModel()
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/dports/net-im/tg_owt/tg_owt-d578c76/src/modules/audio_processing/ns/ |
H A D | prior_signal_model_estimator.cc | 26 rtc::ArrayView<const int, kHistogramSize> spectral_flatness, in FindFirstOfTwoLargestPeaks() argument 42 if (spectral_flatness[i] > peak_value) { in FindFirstOfTwoLargestPeaks() 48 peak_value = spectral_flatness[i]; in FindFirstOfTwoLargestPeaks() 49 *peak_weight = spectral_flatness[i]; in FindFirstOfTwoLargestPeaks() 51 } else if (spectral_flatness[i] > secondary_peak_value) { in FindFirstOfTwoLargestPeaks() 53 secondary_peak_value = spectral_flatness[i]; in FindFirstOfTwoLargestPeaks() 54 secondary_peak_weight = spectral_flatness[i]; in FindFirstOfTwoLargestPeaks()
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H A D | signal_model_estimator.cc | 66 float* spectral_flatness) { in UpdateSpectralFlatness() argument 67 RTC_DCHECK(spectral_flatness); in UpdateSpectralFlatness() 75 *spectral_flatness -= kAveraging * (*spectral_flatness); in UpdateSpectralFlatness() 93 *spectral_flatness += kAveraging * (spectral_tmp - *spectral_flatness); in UpdateSpectralFlatness() 140 &features_.spectral_flatness); in Update()
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H A D | histograms.cc | 34 if (features_.spectral_flatness < kHistogramSize * kBinSizeSpecFlat && in Update() 35 features_.spectral_flatness >= 0.f) { in Update() 36 ++spectral_flatness_[features_.spectral_flatness * kOneByBinSizeSpecFlat]; in Update()
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H A D | speech_probability_estimator.cc | 59 width_prior = model.spectral_flatness > prior_model.flatness_threshold in Update() 66 (prior_model.flatness_threshold - model.spectral_flatness)) + in Update()
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H A D | signal_model.cc | 19 spectral_flatness = kSfFeatureThr; in SignalModel()
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/dports/www/firefox/firefox-99.0/third_party/libwebrtc/modules/audio_processing/ns/ |
H A D | prior_signal_model_estimator.cc | 26 rtc::ArrayView<const int, kHistogramSize> spectral_flatness, in FindFirstOfTwoLargestPeaks() argument 42 if (spectral_flatness[i] > peak_value) { in FindFirstOfTwoLargestPeaks() 48 peak_value = spectral_flatness[i]; in FindFirstOfTwoLargestPeaks() 49 *peak_weight = spectral_flatness[i]; in FindFirstOfTwoLargestPeaks() 51 } else if (spectral_flatness[i] > secondary_peak_value) { in FindFirstOfTwoLargestPeaks() 53 secondary_peak_value = spectral_flatness[i]; in FindFirstOfTwoLargestPeaks() 54 secondary_peak_weight = spectral_flatness[i]; in FindFirstOfTwoLargestPeaks()
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H A D | signal_model_estimator.cc | 66 float* spectral_flatness) { in UpdateSpectralFlatness() argument 67 RTC_DCHECK(spectral_flatness); in UpdateSpectralFlatness() 75 *spectral_flatness -= kAveraging * (*spectral_flatness); in UpdateSpectralFlatness() 93 *spectral_flatness += kAveraging * (spectral_tmp - *spectral_flatness); in UpdateSpectralFlatness() 140 &features_.spectral_flatness); in Update()
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H A D | histograms.cc | 34 if (features_.spectral_flatness < kHistogramSize * kBinSizeSpecFlat && in Update() 35 features_.spectral_flatness >= 0.f) { in Update() 36 ++spectral_flatness_[features_.spectral_flatness * kOneByBinSizeSpecFlat]; in Update()
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H A D | speech_probability_estimator.cc | 59 width_prior = model.spectral_flatness > prior_model.flatness_threshold in Update() 66 (prior_model.flatness_threshold - model.spectral_flatness)) + in Update()
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/dports/www/chromium-legacy/chromium-88.0.4324.182/third_party/webrtc/modules/audio_processing/ns/ |
H A D | prior_signal_model_estimator.cc | 26 rtc::ArrayView<const int, kHistogramSize> spectral_flatness, in FindFirstOfTwoLargestPeaks() argument 42 if (spectral_flatness[i] > peak_value) { in FindFirstOfTwoLargestPeaks() 48 peak_value = spectral_flatness[i]; in FindFirstOfTwoLargestPeaks() 49 *peak_weight = spectral_flatness[i]; in FindFirstOfTwoLargestPeaks() 51 } else if (spectral_flatness[i] > secondary_peak_value) { in FindFirstOfTwoLargestPeaks() 53 secondary_peak_value = spectral_flatness[i]; in FindFirstOfTwoLargestPeaks() 54 secondary_peak_weight = spectral_flatness[i]; in FindFirstOfTwoLargestPeaks()
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H A D | signal_model_estimator.cc | 66 float* spectral_flatness) { in UpdateSpectralFlatness() argument 67 RTC_DCHECK(spectral_flatness); in UpdateSpectralFlatness() 75 *spectral_flatness -= kAveraging * (*spectral_flatness); in UpdateSpectralFlatness() 93 *spectral_flatness += kAveraging * (spectral_tmp - *spectral_flatness); in UpdateSpectralFlatness() 140 &features_.spectral_flatness); in Update()
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H A D | histograms.cc | 34 if (features_.spectral_flatness < kHistogramSize * kBinSizeSpecFlat && in Update() 35 features_.spectral_flatness >= 0.f) { in Update() 36 ++spectral_flatness_[features_.spectral_flatness * kOneByBinSizeSpecFlat]; in Update()
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H A D | speech_probability_estimator.cc | 59 width_prior = model.spectral_flatness > prior_model.flatness_threshold in Update() 66 (prior_model.flatness_threshold - model.spectral_flatness)) + in Update()
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H A D | signal_model.cc | 19 spectral_flatness = kSfFeatureThr; in SignalModel()
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/dports/audio/webrtc-audio-processing/webrtc-audio-processing-1.0/webrtc/modules/audio_processing/ns/ |
H A D | prior_signal_model_estimator.cc | 26 rtc::ArrayView<const int, kHistogramSize> spectral_flatness, in FindFirstOfTwoLargestPeaks() argument 42 if (spectral_flatness[i] > peak_value) { in FindFirstOfTwoLargestPeaks() 48 peak_value = spectral_flatness[i]; in FindFirstOfTwoLargestPeaks() 49 *peak_weight = spectral_flatness[i]; in FindFirstOfTwoLargestPeaks() 51 } else if (spectral_flatness[i] > secondary_peak_value) { in FindFirstOfTwoLargestPeaks() 53 secondary_peak_value = spectral_flatness[i]; in FindFirstOfTwoLargestPeaks() 54 secondary_peak_weight = spectral_flatness[i]; in FindFirstOfTwoLargestPeaks()
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H A D | signal_model_estimator.cc | 66 float* spectral_flatness) { in UpdateSpectralFlatness() argument 67 RTC_DCHECK(spectral_flatness); in UpdateSpectralFlatness() 75 *spectral_flatness -= kAveraging * (*spectral_flatness); in UpdateSpectralFlatness() 93 *spectral_flatness += kAveraging * (spectral_tmp - *spectral_flatness); in UpdateSpectralFlatness() 140 &features_.spectral_flatness); in Update()
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H A D | histograms.cc | 34 if (features_.spectral_flatness < kHistogramSize * kBinSizeSpecFlat && 35 features_.spectral_flatness >= 0.f) { 36 ++spectral_flatness_[features_.spectral_flatness * kOneByBinSizeSpecFlat];
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H A D | speech_probability_estimator.cc | 59 width_prior = model.spectral_flatness > prior_model.flatness_threshold in Update() 66 (prior_model.flatness_threshold - model.spectral_flatness)) + in Update()
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/dports/audio/bliss/bliss-1.2.0-6-ga443635/bliss-rs/src/ |
H A D | lib.rs | 32 pub spectral_flatness: f32, field 43 0.01 > (self.spectral_flatness - other.spectral_flatness).abs() in approx_eq()
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H A D | analyze.rs | 59 spectral_flatness: spectral_desc.get_flatness(), in analyze() 77 spectral_flatness: 0.11, in test_analyze()
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