Name
Abstract | ||
|---|---|---|
In the quest for greater computer lip-reading performance there are a number of tacit assumptions which are either present in the datasets (high resolution for example) or in the methods (recognition of spoken visual units called "visemes" for example). Here we review these and other assumptions and show the surprising result that computer lip-reading is not heavily constrained by video resolution, pose, lighting and other practical factors. However, the working assumption that visemes, which are the visual equivalent of phonemes, are the best unit for recognition does need further examination. We conclude that visemes, which were defined over a century ago, are unlikely to be optimal for a modern computer lip-reading system. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1117/12.2067464 | Proceedings of SPIE |
Keywords | Field | DocType |
Lip-reading,speech recognition,pattern recognition | Computer graphics (images),Display resolution,Computer science,Viseme,Upload,Dream,Computing systems | Journal |
Volume | ISSN | Citations |
9253 | 0277-786X | 5 |
PageRank | References | Authors |
0.45 | 5 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Helen L. Bear | 1 | 30 | 7.10 |
| gari p owen | 2 | 5 | 0.45 |
| Richard Harvey | 3 | 442 | 33.95 |
| Barry-John Theobald | 4 | 332 | 25.39 |