Gestures that accompany speech are an essential part of natural and efficient embodied
human communication. The automatic generation of such co‐speech gestures is a long …

The automatic generation of stylized co-speech gestures has recently received increasing
attention. Previous systems typically allow style control via predefined text labels or example …

Existing methods for synthesizing 3D human gestures from speech have shown promising
results but they do not explicitly model the impact of emotions on the generated gestures …

Recent advances in NLP are brought by a range of large-scale pretrained language models
(PLMs). These PLMs have brought significant performance gains for a range of NLP tasks …

In this paper, we introduce the DiffuseStyleGesture+, our solution for the Generation and
Evaluation of Non-verbal Behavior for Embodied Agents (GENEA) Challenge 2023, which …

Co-speech gestures are a key channel of human communication, making them important for
personalized chat agents to generate. In the past, gesture generation models assumed that …

Body language (BL) refers to the non-verbal communication expressed through physical
movements, gestures, facial expressions, and postures. It is a form of communication that …

Modeling virtual agents with behavior style is one factor for personalizing human-agent
interaction. We propose an efficient yet effective machine learning approach to synthesize …

This article reports on the second GENEA Challenge to benchmark data-driven automatic co-
speech gesture generation. Participating teams used the same speech and motion dataset …

This paper presents a model for generating expressive robot motions based on human
expressive movements. The proposed data-driven approach combines variational …