gfdb/wav2aug
A general purpose task-agnostic speech augmentation policy
This tool helps researchers and engineers working with spoken language data to automatically enhance and diversify their audio datasets. It takes raw audio waveforms as input and applies a mix of random transformations like adding noise, changing speed, or altering amplitude, outputting augmented audio. This is designed for machine learning practitioners developing speech technologies, such as voice assistants, transcription services, or speaker recognition.
Available on PyPI.
Use this if you need to quickly and easily augment speech audio data for machine learning models without manual fine-tuning of augmentation parameters for each task.
Not ideal if you require highly specific or task-dependent audio augmentations where precise control over each transformation is critical.
Stars
16
Forks
1
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 09, 2026
Commits (30d)
0
Dependencies
4
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