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Seed-Music A Unified Framework for High Quality and Controlled Music Generation discuss: We introduce Seed-Music, a suite of music generation systems capable of producing high-quality music with fine-grained style control. Our unified framework leverages both auto-regressive language modeling and diffusion approaches to support two key music creation workflows: controlled... show more
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The paper introduces Seed-Music, a suite of music generation systems that can produce high-quality music with fine-grained style control. It addresses the challenges in music generation, such as the complexity of music signals, difficulty in evaluating music quality, scarcity of annotated data, and diverse user needs. The paper presents four applications powered by the Seed-Music framework: Lyrics2Song, Lyrics2Leadsheet2Song, MusicEDiT, and Zero-shot Singing Voice Conversion. These applications demonstrate the system's capabilities in generating high-quality vocal music from lyrics and style inputs, incorporating symbolic music representations for enhanced interpretability, enabling interactive editing of lyrics and melodies, and performing singing voice conversion with minimal user input. full paper:

"Seed-Music: A Unified Framework for High Quality and Controlled Music Generation" PAPER SUMMARY

@yonathandinata

As a hobby music producer: This is insanely useful as a tool and the quality of the generated music also seems to be next level compared to similar models. Any plans on making it available as a service?

wow. impressed

@_akhaliq Seed-Music sounds like a game changer for music creators. The idea of high-quality, controlled generation is intriguing—what styles do you think would benefit most?

sounds as bad as suno
