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20242026
most citedAnyEnhance: A Unified Generative Model with Prompt-Guidance and Self-Critic for Voice Enhancement

12 citations · 12 across the 10 of their papers we have counts for

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cs.SD2026

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

Yunjia Zhang, Junan Zhang, Jing Yang +3

We present AnyEdit, a unified, separation-free framework for speech and singing voice editing that preserves real-world acoustic environments, including noise, reverberation, and b…

cs.CV2026

EmoTrace-Bench: Diagnosing Emotional Expression in Text-to-Video Generation through Controlled Cues and Intensity

Yeheng Wang, Liudan Shi, Yi Zheng +5

Text-to-video (T2V) models are increasingly used to generate videos with targeted emotional expressions, yet existing evaluation methods mainly rely on holistic video-text alignmen…

cs.SD2026

Diff-Symbo: Text-Controlled Long-Duration Symbolic Music Generation Using Autoregressive Latent Diffusion Model

Zhiwei Lin, Jun Chen, Boshi Tang +5

Text-controlled symbolic music generation has recently gained research attention due to its versatile, flexible and straightforward approach to music composition. However, previous…

cs.SD2026

P-MUSE: Prompt-MIDI-Optional Model for Unified Instrumental Music Synthesis and Editing

Chong Jing, Junan Zhang, Jing Yang +3

MIDI-to-Music system renders the melody and rhythm of a target MIDI sequence into musical segment while cloning instrument timbre from a prompt recording. Existing systems typicall…

cs.SD2026

Anysynth:Zero-Shot Instrument Cloning via In-Context Learning and Asymmetric Hierarchical Guidance

Chong Jing, Junan Zhang, Jing Yang +3

Zero-shot instrument cloning aims to render an arbitrary [Target MIDI] sequence with the acoustic identity of an unseen instrument given only a short [Reference Audio, Reference MI…