Neural Audio Codecs
1 repo
Deep learning approaches to audio compression using neural networks and PyTorch. This cluster focuses on codec implementations that leverage modern machine learning techniques to achieve high-quality audio compression at low bitrates, with repositories spanning multiple variants optimized for different sample rates and compression targets. Core projects like EnCodec and SNAC represent the leading architectures in this space, alongside domain-specific implementations for various audio encoding scenarios.
Python · 1
