SOTAVerified

MRecGen: Multimodal Appropriate Reaction Generator

2023-07-05Code Available0· sign in to hype

Jiaqi Xu, Cheng Luo, Weicheng Xie, Linlin Shen, Xiaofeng Liu, Lu Liu, Hatice Gunes, Siyang Song

Code Available — Be the first to reproduce this paper.

Reproduce

Code

Abstract

Verbal and non-verbal human reaction generation is a challenging task, as different reactions could be appropriate for responding to the same behaviour. This paper proposes the first multiple and multimodal (verbal and nonverbal) appropriate human reaction generation framework that can generate appropriate and realistic human-style reactions (displayed in the form of synchronised text, audio and video streams) in response to an input user behaviour. This novel technique can be applied to various human-computer interaction scenarios by generating appropriate virtual agent/robot behaviours. Our demo is available at https://github.com/SSYSteve/MRecGen.

Reproductions