| Paper: | SLP-P15.5 | ||
| Session: | Spoken Document Search, Navigation and Summarization | ||
| Time: | Thursday, May 18, 14:00 - 16:00 | ||
| Presentation: | Poster | ||
| Topic: | Speech and Spoken Language Processing: Speech/voice-based human-computer interfaces (HCI) | ||
| Title: | AN AUTOMATIC CAPTIONING SYSTEM FOR TELEMEDICINE | ||
| Authors: | Yunxin Zhao, Xiaojia Zhang, Rusheng Hu, Jian Xue, Xiaolong Li, Lili Che, Rong Hu, Laura Schopp, University of Missouri, United States | ||
| 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. | ||
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