Introduction to PyTorch Audio Data via TorchAudio
This text delves into the use of PyTorch's audio data processing library, TorchAudio. It covers how to add effects for audio data augmentation with PyTorch TorchAudio and how to set up PyTorch TorchAudio for audio data augmentation. The text also discusses adding background noise at different sound levels and adding room reverb using the library. Additionally, it explores advanced resampling of audio data with TorchAudio and audio feature extraction with PyTorch TorchAudio.
Company
Deepgram
Date published
June 27, 2022
Author(s)
Yujian Tang
Word count
3359
Language
English
Hacker News points
None found.