A set of AI-enabled effects, generators, and analyzers for Audacity®. These AI features run 100% locally on your PC 💻 -- no internet connection necessary! OpenVINO™ is used to run AI models on supported accelerators found on the user's system such as CPU, GPU, and NPU.
- Music Separation🎵 -- Separate a mono or stereo track into individual stems -- Drums, Bass, Vocals, & Other Instruments.
- Music Style Remix💿 -- Uses Stable Diffusion to alter a mono or stereo track using a text prompt.
- Noise Suppression🧹 -- Removes background noise from an audio sample.
- Music Generation🎶 -- Uses Stable Diffusion to generate snippets of music from a text prompt.
- Whisper Transcription🎤 -- Uses whisper.cpp to generate a label track containing the transcription or translation for a given selection of spoken audio or vocals.
Go here to find installation packages & instructions for the latest Windows release.
We welcome you to submit an issue here for
- Questions
- Bug Reports
- Feature Requests
- Feedback of any kind -- how can we improve this project?
Your contributions are welcome and valued, no matter how big or small. Feel free to submit a pull-request!
- Audacity® development team & Muse Group-- Thank you for your support!
- Audacity® GitHub -- https://github.com/audacity/audacity
- Whisper transcription & translation analyzer uses whisper.cpp (with OpenVINO™ backend): https://github.com/ggerganov/whisper.cpp
- Music Generation & Music Style Remix use Riffusion's UNet model, Riffusion pipelines that were ported to C++ from this project: https://github.com/riffusion/riffusion
- Music Separation effect uses Meta's Demucs v4 model (https://github.com/facebookresearch/demucs), which has been ported to work with OpenVINO™
- Noise Suppression uses noise-suppression-denseunet-ll model from OpenVINO™'s Open Model Zoo: https://github.com/openvinotoolkit/open_model_zoo
Stable Diffusion & Riffusion's data model is governed by the Creative ML Open Rail M license, which is not an open source license. https://github.com/CompVis/stable-diffusion. Users are responsible for their own assessment whether their proposed use of the project code and model would be governed by and permissible under this license.