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Yun-Jia Zhang

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Preprint Oct 2026

AnyEdit: A Unified Framework for Speech and Singing Voice Editing with Real-World Environmental Consistency

We present AnyEdit, a unified, separation-free framework for speech and singing voice editing that preserves real-world acoustic environments, including noise, reverberation, and background music. Recent unified generative models already achieve strong speech and singing generation in clean conditions, but real-world v...

Yun-Jia Zhang, Ju-Nan Zhang, Jing Yang et al. · 0 citations

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