Index _ | A | B | C | D | E | F | H | K | L | M | N | O | P | R | S | T | V | W _ __call__() (libdse.data.features.BaseExtractor method) (libdse.data.features.LogMagnitudeSpectrumExtractor method) (libdse.data.features.LogMelPowerSpectrumExtractor method) (libdse.data.features.PowerSpectrumExtractor method) (libdse.data.features.RawWaveformExtractor method) __iter__() (libdse.data.librispeech.LibriSpeechDataset method) __len__() (libdse.data.librispeech.LibriSpeechDataset method) __repr__() (libdse.data.librispeech.LibriSpeechDataset method) (libdse.data.noise.DEMANDNoiseDataset method) A add_noise_snr() (in module libdse.data.noise) ALL (libdse.data.noise.DEMANDNoiseType attribute) B BaseExtractor (class in libdse.data.features) BUS (libdse.data.noise.DEMANDNoiseType attribute) C CAFETERIA (libdse.data.noise.DEMANDNoiseType attribute) CAR (libdse.data.noise.DEMANDNoiseType attribute) center_crop() (libdse.nets.WaveUNet method) D DEMANDNoiseDataset (class in libdse.data.noise) DEMANDNoiseType (class in libdse.data.noise) E EntryPointError F FIELD (libdse.data.noise.DEMANDNoiseType attribute) forward() (libdse.nets.VanillaAutoEncoder method) (libdse.nets.WaveUNet method) fs (libdse.data.librispeech.LibriSpeechDataset attribute) H HALLWAY (libdse.data.noise.DEMANDNoiseType attribute) K KITCHEN (libdse.data.noise.DEMANDNoiseType attribute) L Label (in module libdse.data.features) libdse.data.err module libdse.data.features module libdse.data.librispeech module libdse.data.noise module libdse.nets module LibriSpeechDataset (class in libdse.data.librispeech) LIVING (libdse.data.noise.DEMANDNoiseType attribute) log_magnitude_power_spectrum() (libdse.data.features.LogMagnitudeSpectrumExtractor method) LogMagnitudeSpectrumExtractor (class in libdse.data.features) LogMelPowerSpectrumExtractor (class in libdse.data.features) M magnitude_power_spectrum() (libdse.data.features.PowerSpectrumExtractor method) MEETING (libdse.data.noise.DEMANDNoiseType attribute) mel_power_spectrum() (libdse.data.features.LogMelPowerSpectrumExtractor method) METRO (libdse.data.noise.DEMANDNoiseType attribute) module libdse.data.err libdse.data.features libdse.data.librispeech libdse.data.noise libdse.nets N noise (libdse.data.noise.DEMANDNoiseDataset attribute) O OFFICE (libdse.data.noise.DEMANDNoiseType attribute) P PARK (libdse.data.noise.DEMANDNoiseType attribute) PowerSpectrumExtractor (class in libdse.data.features) R RawWaveformExtractor (class in libdse.data.features) RESTAURANT (libdse.data.noise.DEMANDNoiseType attribute) RIVER (libdse.data.noise.DEMANDNoiseType attribute) S Sample (in module libdse.data.features) sample_shape (libdse.data.features.BaseExtractor attribute) (libdse.data.features.LogMagnitudeSpectrumExtractor attribute) (libdse.data.features.LogMelPowerSpectrumExtractor attribute) (libdse.data.features.PowerSpectrumExtractor attribute) (libdse.data.features.RawWaveformExtractor attribute) (libdse.data.librispeech.LibriSpeechDataset attribute) SQUARE (libdse.data.noise.DEMANDNoiseType attribute) stack_channels() (libdse.nets.WaveUNet method) STATION (libdse.data.noise.DEMANDNoiseType attribute) T TRAFFIC (libdse.data.noise.DEMANDNoiseType attribute) V VanillaAutoEncoder (class in libdse.nets) W WASHING (libdse.data.noise.DEMANDNoiseType attribute) WaveUNet (class in libdse.nets)