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arXiv · 2106.14736

Speech2Properties2Gestures: Gesture-Property Prediction as a Tool for Generating Representational Gestures from Speech

Taras Kucherenko·Rajmund Nagy·Patrik Jonell·Michael Neff·Hedvig Kjellström·Gustav Eje Henter
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Abstract

We propose a new framework for gesture generation, aiming to allow data-driven approaches to produce more semantically rich gestures. Our approach first predicts whether to gesture, followed by a prediction of the gesture properties. Those properties are then used as conditioning for a modern probabilistic gesture-generation model capable of high-quality output. This empowers the approach to generate gestures that are both diverse and representational. Follow-ups and more information can be found on the project page: https://svito-zar.github.io/speech2properties2gestures/ .

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BibTeXRIS

Taras Kucherenko, Rajmund Nagy, Patrik Jonell, Michael Neff, Hedvig Kjellström, Gustav Eje Henter. 2021-06-28. Speech2Properties2Gestures: Gesture-Property Prediction as a Tool for Generating Representational Gestures from Speech. https://doi.org/10.1145/3472306.3478333

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