collaborators

14 papers

eess.AS2025

MEDIC: Zero-shot Music Editing with Disentangled Inversion Control

Huadai Liu, Jialei Wang, Xiangtai Li +6

Text-guided diffusion models revolutionize audio generation by adapting source audio to specific text prompts. However, existing zero-shot audio editing methods such as DDIM invers…

eess.AS2025

Versatile Framework for Song Generation with Prompt-based Control

Yu Zhang, Wenxiang Guo, Changhao Pan +8

Song generation focuses on producing controllable high-quality songs based on various prompts. However, existing methods struggle to generate vocals and accompaniments with prompt-…

eess.AS2025

OmniAudio: Generating Spatial Audio from 360-Degree Video

Huadai Liu, Tianyi Luo, Kaicheng Luo +11

Traditional video-to-audio generation techniques primarily focus on perspective video and non-spatial audio, often missing the spatial cues necessary for accurately representing so…

eess.AS2025

FlashAudio: Rectified Flows for Fast and High-Fidelity Text-to-Audio Generation

Huadai Liu, Jialei Wang, Rongjie Huang +4

Recent advancements in latent diffusion models (LDMs) have markedly enhanced text-to-audio generation, yet their iterative sampling processes impose substantial computational deman…

eess.AS2025

TCSinger: Zero-Shot Singing Voice Synthesis with Style Transfer and Multi-Level Style Control

Yu Zhang, Ziyue Jiang, Ruiqi Li +5

Zero-shot singing voice synthesis (SVS) with style transfer and style control aims to generate high-quality singing voices with unseen timbres and styles (including singing method,…

eess.AS2025

StyleSinger: Style Transfer for Out-of-Domain Singing Voice Synthesis

Yu Zhang, Rongjie Huang, Ruiqi Li +6

Style transfer for out-of-domain (OOD) singing voice synthesis (SVS) focuses on generating high-quality singing voices with unseen styles (such as timbre, emotion, pronunciation, a…