Name
Abstract | ||
|---|---|---|
In this paper, we present a first exposition of an automatic closed captioning system designed to assist hearing impaired users in telemedicine. This system automatically separates telehealth conversation speech between a health care provider and a client into two streams and provides real-time captions of health care provider's speech to client. The captioning system is based on the state-of-the-art technology of large vocabulary conversational speech recognition, encompassing speech stream separation, acoustic modeling, language modeling, real-time decoding, confidence annotation, and human-computer interface, with innovations made in several components. The system currently handles a vocabulary size over 46 K. Real-time captioning performance at the average word accuracy of 77.95% is reported. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/ICASSP.2006.1660181 | 2006 IEEE International Conference on Acoustics, Speech and Signal Processing, Vols 1-13 |
Keywords | Field | DocType |
acoustics,natural languages,language modeling,speech coding,broadcasting,health care,speech recognition,decoding,real time systems,human computer interaction,human computer interface | Telemedicine,Closed captioning,Conversation,Speech coding,Computer science,Artificial intelligence,Telehealth,Language model,Pattern recognition,Speech recognition,Natural language,Multimedia,Vocabulary | Conference |
ISSN | Citations | PageRank |
1520-6149 | 17 | 1.03 |
References | Authors | |
8 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yunxin Zhao | 1 | 807 | 121.74 |
| Xiaojia Zhang | 2 | 22 | 1.51 |
| Rusheng Hu | 3 | 21 | 2.54 |
| Jian Xue | 4 | 78 | 7.07 |
| Xiaolong Li | 5 | 362 | 36.92 |
| Lili Che | 6 | 17 | 1.37 |
| Rong Hu | 7 | 17 | 1.03 |
| Laura Schopp | 8 | 22 | 1.85 |