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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jialin Zhong Wu Chou Petajan, E. |
| Copyright Year | 1997 |
| Description | Author affiliation: Lucent Technol., AT&T Bell Labs., Murray Hill, NJ, USA (Jialin Zhong) |
| Abstract | Unlike other image templates, visemes have identities in two different media. In audio domain, they are often related to basic linguistic units such as phonemes. In image domain, they are defined by the images of human articulators, such as mouth shapes, chin movements, etc. In this paper, an approach of extracting visemes from both image and acoustic domains is presented. In image domain, the mouth shapes, represented by feature points on inner lip contours, are extracted through face tracking and mouth image analysis. In acoustic domain, viseme segments are obtained automatically by aligning phoneme strings to audio signals through a Viterbi alignment process. |
| Starting Page | 7 |
| Ending Page | 12 |
| File Size | 450951 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780337808 |
| DOI | 10.1109/MMSP.1997.602605 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1997-06-23 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Facial animation Mouth Speech synthesis Shape Humans Hidden Markov models Image segmentation Image sequences Viterbi algorithm Face |
| Content Type | Text |
| Resource Type | Article |
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