shangeth/wavencoder
WavEncoder is a Python library for encoding audio signals, transforms for audio augmentation, and training audio classification models with PyTorch backend.
This library helps machine learning engineers and researchers build audio classification systems. It takes raw audio signals as input and processes them into numerical representations, which are then used to train models that can categorize audio (e.g., speech vs. music, different speakers). It also provides tools to enhance audio data for better model performance.
No commits in the last 6 months. Available on PyPI.
Use this if you are a machine learning engineer or researcher building an audio classification system and need pre-built components for encoding, data augmentation, and model training in Python.
Not ideal if you are looking for a ready-to-use application for end-users or if you do not have a programming background in Python and PyTorch.
Stars
92
Forks
14
Language
Python
License
MIT
Category
Last pushed
Jun 06, 2021
Commits (30d)
0
Dependencies
5
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