🤗 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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VoxCPM2: Tokenizer-Free TTS for Multilingual Speech Generation, Creative Voice Design, and True-to-Life Cloning
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.
:mega: Python library for audio augmentation