Audio2Gestures: Generating Diverse Gestures from Speech Audio with Conditional Variational Autoencoders
Generating conversational gestures from speech audio is challenging due to the inherent one-to-many mapping be-tween audio and body motions. Conventional CNNs/RNNs assume one-to-one mapping, and thus tend to predict the average of all possible target motions, resulting in plain/boring motions during...
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| Published in: | Proceedings / IEEE International Conference on Computer Vision pp. 11273 - 11282 |
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| Main Authors: | , , , , , , |
| Format: | Conference Proceeding |
| Language: | English |
| Published: |
IEEE
01.10.2021
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| Subjects: | |
| ISSN: | 2380-7504 |
| Online Access: | Get full text |
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