Statements (54)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:software
|
| gptkbp:compatibleWith |
gptkb:PyTorch
|
| gptkbp:developedBy |
gptkb:PyTorch_Team
|
| gptkbp:documentation |
https://pytorch.org/audio/stable/index.html
|
| gptkbp:firstReleased |
2019
|
| https://www.w3.org/2000/01/rdf-schema#label |
torchaudio
|
| gptkbp:latestReleaseVersion |
2.2.0
|
| gptkbp:license |
gptkb:BSD-3-Clause
|
| gptkbp:npmPackage |
gptkb:torchaudio
|
| gptkbp:partOf |
gptkb:PyTorch_Ecosystem
|
| gptkbp:programmingLanguage |
gptkb:Python
|
| gptkbp:provides |
gptkb:MFCC
gptkb:MelSpectrogram gptkb:pre-trained_ConvTasNet_models gptkb:pre-trained_DeepSpeech_models gptkb:pre-trained_Emformer_models gptkb:pre-trained_HuBERT_models gptkb:pre-trained_WavLM_models gptkb:pre-trained_WaveRNN_models gptkb:pre-trained_wav2vec2_models gptkb:Spectrogram gptkb:VAD pre-trained models I/O utilities Kaldi compatibility Resample audio transforms compliance module datasets module functional module models module pipelines module pre-trained RNNT models pre-trained Tacotron2 models pre-trained audio classification models pre-trained source separation models pre-trained speech enhancement models pre-trained speech recognition models pre-trained wavernn vocoder sox effects |
| gptkbp:repository |
https://github.com/pytorch/audio
|
| gptkbp:supports |
deep learning
speech recognition audio processing audio datasets |
| gptkbp:usedFor |
data augmentation
machine learning research speech-to-text audio classification audio feature extraction source separation speech enhancement |
| gptkbp:bfsParent |
gptkb:PyTorch
|
| gptkbp:bfsLayer |
5
|