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Symbolic models make melody, harmony, rhythm, and form explicit but typically stop before a finished recording; audio models produce complete songs while leaving composition implicit. We introduce YuE2, which unifies symbolic and audio music generation at frontier quality through symbolic planning. A single AR-NAR Mixt...
This work proposes a novel two-stage framework that protects both linguistic content and acoustic identity while maintaining usability and introduces F3-VA, a flow-matching-based anonymization framework with a three-stage design that produces diverse and distinct anonymized speakers.
The first large-scale speech dialogue dataset engineered for multiple fine-grained speech style control, UltraVoice, demonstrates substantial gains in core understanding, reasoning, and conversational abilities, and its utility extends to training controllable Text-to-Speech (TTS) models.
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