iver56 / audiomentations
A Python library for audio data augmentation. Useful for making audio ML models work well in the real world, not just in the lab.
Why this job: works in the areas we cover, but does not say which job it does
What it does
Audiomentations is a Python library for audio data augmentation, built to be fast and easy to use - its API is inspired by albumentations. It's useful for making audio deep learning models work well in the real world, not just in the lab. Audiomentations runs on CPU, supports mono audio and multichannel audio and integrates well in training pipelines, such as those built with TensorFlow/Keras or PyTorch. It has helped users achieve world-class results in Kaggle competitions and is trusted by companies building next-generation audio products with AI.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 10 months ago
- Stars
- 2,328
- +3 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.43.1
- Released 14 months ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 75% closed
- 51 still open
- Pull requests
- 191 merged
- 14 waiting
- Releases
- 46
- 0 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 100%
- HTML <1%
Topics
- audio
- sound
- data-augmentation
- augmentation
- sound-processing
- python
- machine-learning
- music
- deep-learning
- audio-effects
- audio-data-augmentation
- dsp
Project record
- JobOther AI tools
- StatusListed
- Commits1,421
- Forks229
- Watching18
- Stars in 28 days+8
- CreatedFeb 12, 2019
- First seen by usNov 7, 2026
- CheckedNov 8, 2026