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Conference Paper
A Commercial Car Navigation System using Korean Large Vocabulary Automatic Speech Recognizer
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- Authors
- Sung Joo Lee, Hoon Chung, Jeon Gue Park, Ho Young Jung, Yun Keun Lee
- Issue Date
- 2009-10
- Citation
- Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) 2009, pp.286-289
- Language
- English
- Type
- Conference Paper
- Abstract
- In this paper, a Korean large vocabulary speech recognizer for an embedded car navigation device is introduced. The proposed speech recognizer identifies 450k point-of-interests within a resource-limited device without serious performance degradation under severe car-noise environments. Before launching the speech recognition application on the Korean retail market, a series of speech recognition tests are conducted in various moving vehicles including sport utility vehicles, recreation vehicles and so on. The on-line 10-best evaluation results of 450k point-of-interest name recognition task show 84.2% accuracy under various driving conditions.