Name
Abstract | ||
|---|---|---|
We present a new language model adaptation framework in- tegrated with error handling method to improve accuracy of speech recognition and performance of spoken language appli- cations. The proposed error corrective language model adapta- tion approach exploits domain-specific language variations and recognition environment characteristics to provide robustness and adaptability for a spoken language system. We demon- strate some experiments of spoken dialogue tasks and empiri- cal results which show an improvement of the accuracy for both speech recognition and spoken language understanding. |
Year | Venue | Keywords |
|---|---|---|
2005 | INTERSPEECH | automatic speech recognition,language model,error handling,domain specific language,speech recognition,error correction |
Field | DocType | Citations |
Cache language model,Speech analytics,Computer science,Cued speech,Speech recognition,Universal Networking Language,Natural language processing,Language identification,Artificial intelligence,Constructed language,Spoken language,Language model | Conference | 4 |
PageRank | References | Authors |
0.43 | 6 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Minwoo Jeong | 1 | 142 | 13.89 |
| Jihyun Eun | 2 | 17 | 2.32 |
| Sangkeun Jung | 3 | 197 | 15.23 |
| Gary Geunbae Lee | 4 | 932 | 93.23 |