Evaluation of text-to-gesture generation model using convolutional neural network

Conversational gestures have a crucial role in realizing natural interactions with virtual agents and robots. Data-driven approaches, such as deep learning and machine learning, are promising in constructing the gesture generation model, which automatically provides the gesture motion for speech or...

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Bibliographic Details
Main Authors:	Asakawa, E. (Author), Hasegawa, D. (Author), Kaneko, N. (Author), Shirakawa, S. (Author)
Format:	Article
Language:	English
Published:	Elsevier Ltd 2022
Subjects:	article cleaning controlled study Convolution convolutional neural network Convolutional neural network Convolutional neural networks deep learning Deep learning gesture Gesture generation human human experiment loss of function mutation machine learning Model transferabilities motion Natural interactions Network architecture speech Spoken text Text to gestures Transfer learning Transformer architecture Virtual agent Virtual robots
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Evaluation of text-to-gesture generation model using convolutional neural network

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