Index

A

additive_mix() (in module audtorch.transforms.functional) AudioConcatDataset (class in audtorch.datasets) AudioDataset (class in audtorch.datasets) AudioSet (class in audtorch.datasets) audtorch.collate module audtorch.datasets module audtorch.metrics module

audtorch.metrics.functional module audtorch.samplers module audtorch.transforms module audtorch.transforms.functional module audtorch.utils module

B

buckets_by_boundaries() (in module audtorch.samplers)

buckets_of_even_size() (in module audtorch.samplers) BucketSampler (class in audtorch.samplers)

C

Collation (class in audtorch.collate) Compose (class in audtorch.transforms) concordance_cc() (in module audtorch.metrics.functional)

ConcordanceCC (class in audtorch.metrics) Crop (class in audtorch.transforms) crop() (in module audtorch.transforms.functional) CsvDataset (class in audtorch.datasets)

D

defined_split() (in module audtorch.datasets) download_url() (in module audtorch.datasets)

download_url_list() (in module audtorch.datasets) Downmix (class in audtorch.transforms) downmix() (in module audtorch.transforms.functional)

E

EmoDB (class in audtorch.datasets) energy() (in module audtorch.utils) EnergyConservingLoss (class in audtorch.metrics) ensure_df_columns_contain() (in module audtorch.datasets) ensure_df_not_empty() (in module audtorch.datasets)

ensure_same_sampling_rate() (in module audtorch.datasets) Expand (class in audtorch.transforms) extra_repr() (audtorch.datasets.AudioConcatDataset method) (audtorch.datasets.AudioDataset method) extract_archive() (in module audtorch.datasets)

F

files_and_labels_from_df() (in module audtorch.datasets)

flatten_list() (in module audtorch.utils)

I

istft() (in module audtorch.transforms.functional)

L

LibriSpeech (class in audtorch.datasets)

load() (in module audtorch.datasets) Log (class in audtorch.transforms)

M

mask() (in module audtorch.transforms.functional) MaskSpectrogramFrequency (class in audtorch.transforms) MaskSpectrogramTime (class in audtorch.transforms) module audtorch.collate audtorch.datasets audtorch.metrics audtorch.metrics.functional audtorch.samplers audtorch.transforms audtorch.transforms.functional audtorch.utils

MozillaCommonVoice (class in audtorch.datasets)

N

Normalize (class in audtorch.transforms)

normalize() (in module audtorch.transforms.functional)

P

Pad (class in audtorch.transforms) pad() (in module audtorch.transforms.functional) PandasDataset (class in audtorch.datasets)

PearsonR (class in audtorch.metrics) pearsonr() (in module audtorch.metrics.functional) power() (in module audtorch.utils)

R

random_index() (audtorch.transforms.RandomCrop static method) random_split() (audtorch.transforms.RandomPad static method) RandomAdditiveMix (class in audtorch.transforms) RandomConvolutionalMix (class in audtorch.transforms) RandomCrop (class in audtorch.transforms) RandomMask (class in audtorch.transforms)

RandomPad (class in audtorch.transforms) RandomReplicate (class in audtorch.transforms) Remix (class in audtorch.transforms) Replicate (class in audtorch.transforms) replicate() (in module audtorch.transforms.functional) Resample (class in audtorch.transforms) run_worker_threads() (in module audtorch.utils)

S

sampling_rate_after_transform() (in module audtorch.datasets) Seq2Seq (class in audtorch.collate) Spectrogram (class in audtorch.transforms) SpeechCommands (class in audtorch.datasets)

SpeechNoiseMix (class in audtorch.datasets) Standardize (class in audtorch.transforms) standardize() (in module audtorch.transforms.functional) stft() (in module audtorch.transforms.functional)

T

to_tuple() (in module audtorch.utils)

U

Upmix (class in audtorch.transforms)

upmix() (in module audtorch.transforms.functional)

V

VoxCeleb1 (class in audtorch.datasets)

W

WhiteNoise (class in audtorch.datasets)