1 citations · 1 across the 4 of their papers we have counts for
4 papers
EmotiveTalk: Expressive Talking Head Generation through Audio Information Decoupling and Emotional Video Diffusion
Haotian Wang, Yuzhe Weng, Yueyan Li +10
Diffusion models have revolutionized the field of talking head generation, yet still face challenges in expressiveness, controllability, and stability in long-time generation. In t…
A Variance-Preserving Interpolation Approach for Diffusion Models with Applications to Single Channel Speech Enhancement and Recognition
Zilu Guo, Qing Wang, Jun Du +3
In this paper, we propose a variance-preserving interpolation framework to improve diffusion models for single-channel speech enhancement (SE) and automatic speech recognition (ASR…
Quality-aware Masked Diffusion Transformer for Enhanced Music Generation
Chang Li, Ruoyu Wang, Lijuan Liu +7
Text-to-music (TTM) generation, which converts textual descriptions into audio, opens up innovative avenues for multimedia creation. Achieving high quality and diversity in this pr…
Continuous Modeling of the Denoising Process for Speech Enhancement Based on Deep Learning
Zilu Guo, Jun Du, CHin-Hui Lee
In this paper, we explore a continuous modeling approach for deep-learning-based speech enhancement, focusing on the denoising process. We use a state variable to indicate the deno…