Shypd.aiThe largest open index of AI toolsEnCodec is an open-source deep learning-based audio codec that provides high-fidelity neural audio compression. It supports both mono 24 kHz and stereo 48 kHz audio, offering various compression rates.
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EnCodec is a state-of-the-art deep learning-based audio codec developed by Facebook Research. It offers high-fidelity neural audio compression for both mono 24 kHz audio and stereo 48 kHz audio. The tool provides two multi-bandwidth models: a causal model for 24 kHz monophonic audio and a non-causal model for 48 kHz stereophonic audio, trained on music-only data. Users can compress audio to various bitrates, ranging from 1.5 kbps to 24 kbps, depending on the model. EnCodec also includes pre-trained language models for further compression without quality loss and can be integrated with Hugging Face Transformers for scalable use. It supports direct command-line usage for compression, decompression, and extracting discrete audio representations.
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