SplitSong vs MusicLM

SplitSong is a web tool that separates a song into individual instrument and vocal tracks using AI. Upload an audio file or paste a YouTube link, and the service returns downloadable stems such as drums, bass, instrumental, and vocals.

The homepage demonstrates the workflow with a Michael Jackson Thriller example, showing separate download links for each stem type. Users need to sign in before uploading their own tracks.

SplitSong was created by Mark Doppler and focuses on a simple stem-splitting workflow for musicians, remixers, and creators who want isolated tracks without manual editing.

MusicLM is a Google Research audio generation model that creates music from text captions at 24 kHz. The public examples page hosts sample clips for prompts like arcade soundtracks, reggaeton-EDM fusions, and relaxing jazz, plus longer story-mode generations that shift styles across timed segments. Google released the MusicCaps dataset of 5,500 music-text pairs alongside the paper.

Unlike consumer apps that ship one prompt box, MusicLM was published as a research demo with pre-generated samples rather than a login product. Its headline trick is joint text-and-melody conditioning: you can hum or whistle a tune and have the model re-render it in a new genre described in text. Story mode chains multiple captions so the music evolves across sections.

MusicLM matters as the research foundation behind Google's later Lyria music models, but this page is for listening to published examples, not creating new tracks interactively. Researchers and musicians study it for long-form consistency, painting-to-music conditioning, and melody transfer results documented in the 2023 paper.