🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
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A PyTorch-based Speech Toolkit
Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
Data manipulation and transformation for audio signal processing, powered by PyTorch
A Python library for audio data augmentation. Useful for making audio ML models work well in the real world, not just in the lab.
Pyroomacoustics is a package for audio signal processing for indoor applications. It was developed as a fast prototyping platform for beamforming algorithms in indoor scenarios.
Python DSP module
kapre: Keras Audio Preprocessors
:sound: spafe: Simplified Python Audio Features Extraction
Code and Pretrained Models for Interspeech 2023 Paper "Whisper-AT: Noise-Robust Automatic Speech Recognizers are Also Strong Audio Event Taggers"
:mega: Python library for audio augmentation