6 papers
SentiAvatar: Towards Expressive and Interactive Digital Humans
Chuhao Jin, Rui Zhang, Qingzhe Gao +5
We present SentiAvatar, a framework for building expressive interactive 3D digital humans, and use it to create SuSu, a virtual character that speaks, gestures, and emotes in real…
VSSFlow: Unifying Video-conditioned Sound and Speech Generation via Joint Learning
Xin Cheng, Yuyue Wang, Xihua Wang +7
Video-conditioned audio generation, including Video-to-Sound (V2S) and Visual Text-to-Speech (VisualTTS), has traditionally been treated as distinct tasks, leaving the potential fo…
ChronusOmni: Improving Time Awareness of Omni Large Language Models
Yijing Chen, Yihan Wu, Kaisi Guan +4
Time awareness is a fundamental ability of omni large language models, especially for understanding long videos and answering complex questions. Previous approaches mainly target v…
VSpeechLM: A Visual Speech Language Model for Visual Text-to-Speech Task
Yuyue Wang, Xin Cheng, Yihan Wu +3
The task of Visual Text-to-Speech (VisualTTS), also known as video dubbing, aims to generate speech synchronized with the lip movements in an input video, in additional to being co…
LoVA: Long-form Video-to-Audio Generation
Xin Cheng, Xihua Wang, Yihan Wu +2
Video-to-audio (V2A) generation is important for video editing and post-processing, enabling the creation of semantics-aligned audio for silent video. However, most existing method…
Enhancing Audiovisual Speech Recognition through Bifocal Preference Optimization
Yihan Wu, Yichen Lu, Yifan Peng +3
Audiovisual Automatic Speech Recognition (AV-ASR) aims to improve speech recognition accuracy by leveraging visual signals. It is particularly challenging in unconstrained real-wor…