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 …

We present ZeroEGGS, a neural network framework for speech‐driven gesture generation
with zero‐shot style control by example. This means style can be controlled via only a short …

This paper 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 reports on the GENEA Challenge 2023, in which participating teams built speech-
driven gesture-generation systems using the same speech and motion dataset, followed by …

Co-speech gestures, gestures that accompany speech, play an important role in human
communication. Automatic co-speech gesture generation is thus a key enabling technology …

This paper describes a system developed for the GENEA (Generation and Evaluation of Non-
verbal Behaviour for Embodied Agents) Challenge 2023. Our solution builds on an existing …

Synthesizing realistic co-speech gestures is an important and yet unsolved problem for
creating believable motions that can drive a humanoid robot to interact and communicate …

Non-verbal behavior is essential for embodied agents like social robots, virtual avatars, and
digital humans. Existing behavior authoring approaches including keyframe animation and …

Text-to-speech and co-speech gesture synthesis have until now been treated as separate
areas by two different research communities, and applications merely stack the two …

This paper describes the ReprGesture entry to the Generation and Evaluation of Non-verbal
Behaviour for Embodied Agents (GENEA) challenge 2022. The GENEA challenge provides …