The wav2letter project provides an automatic speech recognition toolkit from Facebook AI Research.
AudioCraft
AudioCraft provides research code for generating music and sound effects and for audio compression.

About AudioCraft
AudioCraft is a research code base from Meta AI for generative audio. It includes MusicGen for text-to-music generation, AudioGen for text-to-sound generation from environmental sounds, and EnCodec for compression after training on raw audio signals.
The models use EnCodec to convert raw waveforms to discrete tokens, a single autoregressive language model to model the tokens, and the EnCodec decoder to produce the output waveform, with conditioning such as a pretrained text encoder for text-to-audio use.
Key features
- Generate music samples from user-provided text inputs
- Generate environmental sounds from text descriptions
- Compress raw audio into discrete token streams
- Convert generated tokens back to audio waveform
- Control generation with pretrained text-encoder conditioning
- Model parallel token streams with interleaving pattern
- Combines music, sound effects, and compression in one code base
- Works from raw audio signals through discrete tokens
- Uses a single autoregressive model for token sequences
AudioCraft at a glance
- Website
- audiocraft.metademolab.com
- Category
- AI & Machine Learning › AI Voice & Audio
- Type
- Online tool
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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AudioCraft FAQ
What is the difference between MusicGen and AudioGen?
How do AudioCraft models generate audio?
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