EnCodec is an open-source neural audio codec developed by Meta AI. It enables high-fidelity audio compression at low bitrates using a combination of residual vector quantization and a transformer-based decoder. The model is provided as a Hugging Face repository containing weights for 24kHz audio and can be used for feature extraction, audio reconstruction, and as a foundation for downstream audio tasks.
Encodec 24khz is a Foundation models & chat project. It focuses on compressing and decompressing high-quality audio at very low bitrates while preserving fidelity. Encodec 24khz is an open-source project aimed at machine learning researchers and audio engineers. The project is open source (MIT). It ships for the web, the command line, and API.
Meta AI builds and maintains Encodec 24khz, and it first shipped in 2022. Development happens publicly on GitHub with 4k stars. Key capabilities include Audio Compression, Neural Codec, and 24kHz Support.
Summary written by a language model from the project’s public pages.
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