Name
Abstract | ||
|---|---|---|
Individuals using an Augmentative and Alternative Communication (AAC) device communicate at less than 10% of the speed of "traditional" speech, creating a large communication gap. In this user study, we compare the communication rate of pseudo-impaired individuals using two different word prediction algorithms and a system without word prediction. Our results show that word prediction can increase AAC communication rate and that more accurate predictions significantly improve communication rate. |
Year | Venue | Keywords |
|---|---|---|
2007 | HLT-NAACL (Short Papers) | accurate prediction,alternative communication,different word prediction algorithm,aac communication rate,user study,pseudo-impaired individual,word prediction,communication rate,large communication gap |
Field | DocType | Citations |
Computer science,Speech recognition,Prediction algorithms,Artificial intelligence,Natural language processing,Augmentative and alternative communication | Conference | 14 |
PageRank | References | Authors |
1.26 | 4 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Keith Trnka | 1 | 97 | 7.51 |
| Debra Yarrington | 2 | 73 | 10.54 |
| John McCaw | 3 | 43 | 3.09 |
| Kathleen F. McCoy | 4 | 671 | 93.90 |
| Christopher Pennington | 5 | 59 | 4.52 |