magcil/deepaudio-x
A python library to train Deep Neural Networks on various audio tasks using Self-Supervised backbones.
This library helps developers create systems that can automatically sort and categorize audio files. You provide your collection of audio recordings, organized by what they contain (like "speech," "music," or "noise"), and the tool trains a model to recognize these categories. The output is a trained classifier that can then identify the content of new, unseen audio. This is ideal for machine learning engineers or data scientists working with audio.
Available on PyPI.
Use this if you need to build a system for automatically classifying various types of audio, leveraging existing powerful AI models.
Not ideal if you're a non-technical user looking for a ready-to-use application, or if you don't have programming experience with Python and PyTorch.
Stars
10
Forks
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Language
Python
License
Apache-2.0
Category
Last pushed
Mar 10, 2026
Commits (30d)
0
Dependencies
8
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