audeering/auglib
Data augmentation for audio
This tool helps researchers and engineers working with audio data to artificially expand their datasets. It takes existing audio signals or files and applies various modifications like adding noise or changing pitch, producing new, augmented versions of the original audio. This is useful for anyone training machine learning models on sound, speech, or music, where more diverse training examples are often needed.
Used by 1 other package. Available on PyPI.
Use this if you need to generate more varied examples of audio data from a limited initial set for tasks like model training or analysis.
Not ideal if you are looking to edit audio for creative production, mixing, or mastering purposes.
Stars
13
Forks
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Language
Python
License
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Category
Last pushed
Jan 22, 2026
Commits (30d)
0
Dependencies
6
Reverse dependents
1
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