A Commercial Car Navigation System using Korean Large Vocabulary Automatic Speech Recognizer
| Autor: | Lee, Sung Joo, Chung, Hoon, Park, Jeon Gue, Jung, Ho-Young, Lee, Yunkeun |
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| Jazyk: | angličtina |
| Rok vydání: | 2009 |
| Zdroj: | Proceedings : APSIPA ASC 2009 : Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference. :286-289 |
| Popis: | APSIPA ASC 2009: Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference. 4-7 October 2009. Sapporo, Japan. Poster session: Advanced Circuits and Systems/VLSI (5 October 2009). 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. |
| Databáze: | OpenAIRE |
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