Display options
Cite
Barbulescu A, Ronfard R, Bailly G. A Generative Audio-Visual Prosodic Model for Virtual Actors. IEEE Comput Graph Appl. 2017;37(6):40-51doi: 10.1109/MCG.2017.4031070.
Barbulescu, A., Ronfard, R., & Bailly, G. (2017). A Generative Audio-Visual Prosodic Model for Virtual Actors. IEEE computer graphics and applications, 37(6), 40-51. https://doi.org/10.1109/MCG.2017.4031070
Barbulescu, Adela, et al. "A Generative Audio-Visual Prosodic Model for Virtual Actors." IEEE computer graphics and applications vol. 37,6 (2017): 40-51. doi: https://doi.org/10.1109/MCG.2017.4031070
Barbulescu A, Ronfard R, Bailly G. A Generative Audio-Visual Prosodic Model for Virtual Actors. IEEE Comput Graph Appl. 2017 Nov-Dec;37(6):40-51. doi: 10.1109/MCG.2017.4031070. PMID: 29140781.
Copy Download .nbib Format: NLM
Share it on

IEEE Comput Graph Appl. 2017 Nov-Dec;37(6):40-51. doi: 10.1109/MCG.2017.4031070.

A Generative Audio-Visual Prosodic Model for Virtual Actors.

IEEE computer graphics and applications

Adela Barbulescu, Remi Ronfard, Gerard Bailly

PMID: 29140781 DOI: 10.1109/MCG.2017.4031070

Abstract

An important problem in computer animation of virtual characters is the expression of complex mental states during conversation using the coordinated prosody of voice, rhythm, facial expressions, and head and gaze motion. In this work, the authors propose an expressive conversion method for generating natural speech and facial animation in a variety of recognizable attitudes, using neutral speech and animation as input. Their method works by automatically learning prototypical prosodic contours at the sentence level from an original dataset of dramatic attitudes.

Publication Types