Audio Augmentations
New takes on audio augmentations for TEAM-ML models and data. If you are just stumbling across this package, you should probably use Audiomentations or torch-audiomentations.
Prerequisites
- Python 3.14 runtime
- Pip for package installation
Installation
# Pip is the classic
pip install teamml_audio_augment
# Should also work ith `uv`
uv add teamml_audio_augment
Credit Where Credit is Due
- In the
AirAbsorptionclass, the_fft_freqfunction is adapted fromlibrosa - In the
Infrasoundclass, the_oscillator_bankfunction is adapted fromtorchaudio - In _advanced.py, the functions are adapted from several advanced and/or compiled libraries:
- The
rmsfunction is adapted fromnumpy-rms - The
minmaxfunction is adapted fromnumpy-minmax - The
_next_fast_lenfunction is adapted fromscipy.signal
- The
Our contributions include everything in advanced and the Infrasound class.
License
MIT.
1 maintainer
Metadata
1 maintainer
Release files for teamml-audio-augment 0.3.4
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Source distribution (sdist)
| File | Size | Uploaded | |
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| teamml_audio_augment-0.3.4.tar.gz | 26.9 kB | Details |
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|---|---|---|---|---|
| teamml_audio_augment-0.3.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 63.1 kB
Release files / teamml_audio_augment-0.3.4.tar.gz
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