March 29, 2024, 4:43 a.m. | Taras Kucherenko, Pieter Wolfert, Youngwoo Yoon, Carla Viegas, Teodor Nikolov, Mihail Tsakov, Gustav Eje Henter

cs.LG updates on

arXiv:2303.08737v2 Announce Type: replace-cross
Abstract: 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 to build gesture-generation systems. Motion generated by all these systems was rendered to video using a standardised visualisation pipeline and evaluated in several large, crowdsourced user studies. Unlike when comparing different research papers, differences in results are here only due to differences between methods, enabling direct comparison between systems. The dataset …

abstract arxiv benchmark build challenge cs.hc cs.lg data data-driven dataset generated paper pipeline reports scale speech systems teams type video

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