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Cited by 162

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Expressive speech-driven facial animation

Cao, Yong, Tien, Wen C., Faloutsos, Petros, Pighin, Frédéric·2005·ACM Transactions on Graphics

Abstract

Speech-driven facial motion synthesis is a well explored research topic. However, little has been done to model expressive visual behavior during speech. We address this issue using a machine learning approach that relies on a database of speech-related high-fidelity facial motions. From this training set, we derive a generative model of expressive facial motion that incorporates emotion control, while maintaining accurate lip-synching. The emotional content of the input speech can be manually specified by the user or automatically extracted from the audio signal using a Support Vector Machine classifier.

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Crossref · 10.1145/1095878.1095881

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Metadata

Authors
Cao, Y., Tien, W. C., Faloutsos, P., & Pighin, F.
Venue
ACM Transactions on Graphics
Published
2005-10
Volume
24
Issue
4
Pages
1283-1302
ISSN
  • 0730-0301 (ISSN-L)
  • 1557-7368
OpenAlex
W2064400654
Cited by
162
References
3
FWCI
12.91
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Expressive speech-driven facial animation. https://app.cochat.ai/papers/10.1145/1095878.1095881
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Cao, Y., Tien, W. C., Faloutsos, P., & Pighin, F. (2005). Expressive speech-driven facial animation. ACM Transactions on Graphics. https://doi.org/10.1145/1095878.1095881

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.