Speech independent emotion transfer for virtual faces
Article No.: 10, Pages 1 - 2
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References
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Ben-David, B. M., Thayapararajah, A., and van Lieshout, P. H. 2013. A resource of validated digital audio recordings to assess identification of emotion in spoken language after a brain injury. Brain Injury 27, 2, 248--250.
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Cao, Y., Faloutsos, P., and Pighin, F. 2003. Unsupervised learning for speech motion editing. In Proceedings of the 2003 ACM SIGGRAPH/Eurographics symposium on Computer animation, Eurographics Association, 225--231.
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Haq, S., and Jackson, P. J. 2010. Multimodal emotion recognition. Machine Audition: Principles, Algorithms and Systems, 398--423.
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Ma, X., Le, B. H., and Deng, Z. 2009. Style learning and transferring for facial animation editing. In Proceedings of the 2009 ACM SIGGRAPH/Eurographics Symposium on Computer Animation, ACM, 123--132.
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Martin, O., Kotsia, I., Macq, B., and Pitas, I. 2006. The enterface'05 audio-visual emotion database. In Data Engineering Workshops, 2006. Proceedings. 22nd International Conference on, IEEE, 8--8.
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Shaw, F., and Theobald, B.-J. 2013. Transforming neutral visual speech into expressive visual speech. In Auditory-Visual Speech Processing (AVSP) 2013.
- Speech independent emotion transfer for virtual faces
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Published In
September 2015
18 pages
ISBN:9781450335300
DOI:10.1145/2813852
Copyright © 2015 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
In-Cooperation
- Disney Research: Disney Research
- FTW: FTW
- CDE: Centre for Digital Entertainment
- TUG: Technical University of Graz
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 11 September 2015
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FAA '15
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