Name
Abstract | ||
|---|---|---|
The DORIS project aims to develop a spoken dialogue module for an autonomous robotic agent. This paper examines the techniques used by Scusi?, the speech interpretation component of DORIS, to postulate and assess hypotheses regarding the meaning of a spoken utterance. The results of our evaluation are encouraging, yielding good interpretation performance for utterances of different types and lengths. |
Year | Venue | Keywords |
|---|---|---|
2008 | INTERSPEECH 2008: 9TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2008, VOLS 1-5 | speech understanding, probabilistic dialogue system, home environment |
Field | DocType | Citations |
Computer science,Utterance,Speech recognition,Natural language processing,Artificial intelligence,Robot,Spoken language | Conference | 1 |
PageRank | References | Authors |
0.37 | 9 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Enes Makalic | 1 | 55 | 11.54 |
| Ingrid Zukerman | 2 | 994 | 113.39 |
| Michael Niemann | 3 | 22 | 3.22 |