Name
Abstract | ||
|---|---|---|
The rapidly expanding voice recognition industry has so far shown a preference for grammar-based language modelling, despite the better overall performance of statistical language modelling. Given that the advantages of the grammar-based approach make it un- likely to be replaced as the primary solution in the near future, it is natural to wonder whether some combination of the two ap- proaches may prove useful. Here, we describe an implemented system that uses statistical language modelling and a decision-tree classifier to provide the user with some feedback when grammar- based recognition fails. Users of this system had more successful interactions than did users of a control system. |
Year | Venue | Keywords |
|---|---|---|
2002 | INTERSPEECH | control system,computer science,voice recognition,decision tree classifier |
Field | DocType | Citations |
Wonder,Computer science,Grammar,Speech recognition,Natural language processing,Artificial intelligence,Control system,Classifier (linguistics),Language modelling | Conference | 14 |
PageRank | References | Authors |
0.88 | 6 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Genevieve Gorrell | 1 | 266 | 22.00 |
| Ian Lewin | 2 | 246 | 25.58 |
| Manny Rayner | 3 | 508 | 89.27 |