fast-music-remover

Please go ahead! I'd love to see where it goes and would be willing to help out. I've already opened an issue to track "adding support for user-provided audio" as we discussed, see: https://github.com/omeryusufyagci/fast-music-remover/issues/... As for your question: it depends on the approach; Fast Music Remover currently uses DeepFilterNet, which has a deep learning approach and doesn't identify audio components as logical layers, which is why it's rather fast. Typically for that sort of requirements you'd want to work with a model like `demucs` (https://github.com/facebookresearch/demucs), that can identify individual audio components. That comes at great performance costs though. However, my vision for the core of FMR is to support multiple ML models and provide the optimal solution for user needs, without them worrying about these de

A lightweight audio enhancer for internet media. It's fast, free and easy to use. Pull the docker image from GHCR, instructions and demo video on the readme!

Fast-Music-Remover, a lightweight tool I've recently open-sourced that efficiently removes noise and music from internet media, is growing steadily, with new contributors joining consitently! To showcase its current capabilities, we've now published a demo video — check it out in the README of the public repository: https://github.com/omeryusufyagci/fast-music-remover As we prepare for live stream support, there are many technical challenges spanning the frontend, backend, and the core C++ MediaProcessor. If you're interested in contributing, take a look at the open issues: https://github.com/omeryusufyagci/fast-music-remover/issues You can easily try it out using Docker, and we're also close to releasing a Windows binary — stay tuned! Thanks for taking a look and helping spread the word!

I've recently open-sourced a tool for removing music, sound effects, and noise from internet media, with an emphasis on speed and simplicity. The project processes videos at around 8% of the original media length — meaning it can handle a 10-minute video in under a minute. Repo: https://github.com/omeryusufyagci/fast-music-remover The tool is lightweight, works through Docker, and is licensed under MIT. It supports several use cases, such as improving the audio quality of lectures, field reports, and isolating speech from videos with heavy background noise. I'm currently working towards adding live stream support and would love to have contributors on board. There are interesting open issues for developers experienced in backend, frontend, Python, C++, and audio processing. Feedback, suggestions, and contributions are very welcome. Thanks