Researchers present AURA, a multimodal framework that lets users edit music through a back-and-forth conversation rather than one-off commands. Existing instruction-guided editors handle each request in isolation, which makes it hard to iteratively refine a track. AURA is designed to keep track of prior edits so a session can build progressively toward a desired result.
Researchers present ScorePrompts, an interactive system that accepts an uploaded musical score and returns natural-language descriptions of its structure. Users can ask questions about specific passages, and the system displays the matching analysis results in staff notation. The work was posted as an arXiv preprint in the computation and language category.
A former Spotify executive has founded a startup that builds music-making apps and operates a vinyl bar in Shibuya. The company is releasing experimental singles designed to let listeners take part in creating the music. The venture blends a physical listening space with participatory digital music products.
A new arXiv paper introduces TimeCues Studio, a workspace for placing precise annotations such as points, segments, and loops on music recordings. The tool supports both hand labeling and algorithmic prototyping, targeting the shortage of annotated training data that limits machine-learning approaches in multimedia applications.
Universal Music Group and ElevenLabs are building a joint platform that would let fans create remixes and mashups from songs by participating artists. The deal gives the AI audio company a license covering the label's catalog, though many terms remain undisclosed. It marks a notable shift for Universal, which has previously sued AI music startups over copyright.
Suno has launched v6, its latest AI music generation model, describing it as the first built with backing from the recorded music industry. A company representative said the model was trained from scratch on a fresh dataset that differs from the material used for earlier versions, and that the new data includes content licensed from rights holders. The release marks a move toward licensed training sources for music-generation tools.
Suno has introduced its v6 generation of AI music models in three variants, developed in partnership with major labels Warner Music Group, BMG and Believe. The update adds multimodal input, letting users create tracks from text, audio or images, and edit sections of a song with text prompts. Suno is retiring its earlier model versions as v6 rolls out.
Suno has introduced a sixth generation of its music generation models, released in three variants. The company says the models were developed in collaboration with Warner Music Group, BMG and Believe, and it is discontinuing all earlier model versions. New capabilities include editing parts of an existing song through text prompts and generating tracks multimodally from text, audio and images.
Suno has introduced a new version of its music generation model, v6, which the company says was not built using the same training data as its earlier models. The update arrives as the company faces multiple copyright infringement lawsuits from rights holders. Suno says the new model draws on licensed music instead.