Track: Challenge paper
Team Name: FineMotion
Keywords: embodied agents, neural networks, gesture generation, social robotics, deep learning
Abstract: This paper describes FineMotion’s gesture generating system entry for the GENEA Challenge 2022. Our system is based on auto-regressive approach imitating recurrent cell. Combined with a special windowed auto-encoder and training approach this system generates plausible gestures appropriate to input speech.