iver56/audiomentations
A Python library for audio data augmentation designed for deep learning training pipelines.
Not currently ranked — collecting fresh signals.
star history
Audiomentations provides a fast, easy-to-use API for augmenting audio data, inspired by the albumentations library. It supports CPU processing for both mono and multichannel audio and integrates with TensorFlow/Keras and PyTorch training pipelines. The library has been used to achieve competitive results in Kaggle competitions and is trusted by companies developing AI-powered audio products.
Frequently asked
- What is iver56/audiomentations?
- A Python library for audio data augmentation designed for deep learning training pipelines.
- Is audiomentations open source?
- Yes — iver56/audiomentations is open source, released under the MIT license.
- What language is audiomentations written in?
- iver56/audiomentations is primarily written in Python.
- How popular is audiomentations?
- iver56/audiomentations has 2.3k stars on GitHub.
- Where can I find audiomentations?
- iver56/audiomentations is on GitHub at https://github.com/iver56/audiomentations.