StemRoller

MVSEP is an online platform that utilizes artificial intelligence to separate audio tracks into distinct components, such as vocals and instruments. Users can upload audio files up to 100MB in various formats and select from multiple AI models to perform the separation. The platform offers both free and premium services, with premium options providing access to advanced models capable of isolating additional elements like bass, drums, piano, guitar, and more. Output files can be downloaded in formats including MP3, WAV, FLAC, and M4A. MVSEP is particularly beneficial for musicians, producers, and audio engineers seeking to extract specific components from audio tracks for remixing, analysis, or practice purposes. At the moment we have two datasets. One synthetic to check the quality of the separation into two parts: vocals and instruments. The second multisong dataset consists of individual songs from different genres and can check for vocals, instrumentals, bass, drums, etc.

Splitter.ai is an AI-powered audio processing platform that enables users to isolate individual components of a song, such as vocals, bass, drums, and other instruments. By uploading an audio file or providing a YouTube link, the platform utilizes advanced machine learning algorithms to separate the track into distinct stems, typically within a minute. This functionality is particularly beneficial for musicians, producers, DJs, and karaoke enthusiasts who wish to create backing tracks, remixes, or analyze specific elements of a song. Splitter.ai offers both free and premium services, with the latter providing enhanced features like near-perfect two-stem separation, reverb removal, and direct YouTube splitting. The platform is accessible via its website and supports various audio formats, ensuring a user-friendly experience for those seeking to manipulate and explore music components.