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.
| Original language | English |
|---|---|
| Pages | 286-289 |
| Number of pages | 4 |
| State | Published - 2009 |
| Event | Asia-Pacific Signal and Information Processing Association 2009 Annual Summit and Conference, APSIPA ASC 2009 - Sapporo, Japan Duration: 4 Oct 2009 → 7 Oct 2009 |
Conference
| Conference | Asia-Pacific Signal and Information Processing Association 2009 Annual Summit and Conference, APSIPA ASC 2009 |
|---|---|
| Country/Territory | Japan |
| City | Sapporo |
| Period | 4/10/09 → 7/10/09 |
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