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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hennecke, M.E. Prasad, K.V. Stork, D.G. |
| Copyright Year | 1994 |
| Description | Author affiliation: Dept. of Electr. Eng., Stanford Univ., CA, USA (Hennecke, M.E.; Prasad, K.V.) |
| Abstract | The visual image of a talker provides information complementary to the acoustic speech waveform, and enables improved recognition accuracy, especially in environments corrupted by high acoustic noise or multiple talkers. Because most of the phonologically relevant visual information is from the mouth and lips, it is important to infer accurately and robustly their dynamics; moreover it is desirable to extract this information without the use of invasive markers or patterned illumination. We describe the use of deformable templates for speechreading, in order to infer the dynamics of lip contours throughout an image sequence. Template computations can be done relatively quickly and the resulting small number of shape description parameters are quite robust to visual noise and variations in illumination. Such templates delineate the inside of the mouth, so that the teeth and the tongue can also be found. |
| Starting Page | 578 |
| Ending Page | 582 |
| File Size | 467949 |
| Page Count | 5 |
| File Format | |
| ISBN | 0818664053 |
| ISSN | 10586393 |
| DOI | 10.1109/ACSSC.1994.471518 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1994-10-31 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Mouth Noise robustness Lighting Acoustic waves Speech enhancement Image recognition Speech recognition Acoustic noise Lips Data mining |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Computer Networks and Communications |
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