碩士 / 國立交通大學 / 交通運輸研究所 / 91 / Vehicle navigation system has been developed from in-car notebook with digital map on CD-ROM to the advanced devices nowadays. At the same time, the progress of geographic information system enables the graphics on the screen to show details. However, the complexity of the digital map also draws driver’s attention as result of safety concerned. On the other hand, the manual operation of the navigation devices drives the same issue.
The study takes the voice as a human-machine interface to improve the driving safety with speech recognition and voice response functions programmed on the personal digital assistant. The algorithms used in the study are referring to the method and theory in the key word speech recognition field. The navigation software built by this study has realized the speech recognition on the PDA to operate map controls, and the voice responses include the corner distance, angle, next route, the information of parking lot, hotel, and gas station.
The major obstacle applying speech recognition is the efficiency of the program, a series process handling a voice file which slows down the speed of recognition. Although the users can get the voice responses clearly, the multiple pronunciations of a Chinese word may decrease the accuracy of it, and should be an issue in the future study.
Key Words：Vehicle Navigation、Geographic Information System、Speech Recognition、Personal Digital Assistant
| Identifer | oai:union.ndltd.org:TW/091NCTU0118027 |
| Date | January 2003 |
| Creators | Hsin-I Wang, 王欣逸 |
| Contributors | Chuan-Fang Wang, Tai-Sheng Huang, 王傳芳, 黃台生 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 70 |
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