KEYWORD SPOTTING IN BROADCAST NEWS
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Oh, Yung-Hwan | - |
| dc.contributor.author | Park, Jeong-Sik | - |
| dc.contributor.author | Park, Kyung-Mi | - |
| dc.date.accessioned | 2010-04-13T06:16:06Z | - |
| dc.date.available | 2010-04-13T06:16:06Z | - |
| dc.date.issued | 2007-01 | - |
| dc.identifier.citation | IGNOIE, pp.208-213 | en |
| dc.identifier.uri | http://hdl.handle.net/10203/17620 | - |
| dc.description.abstract | In this presentation, we introduce several research topics related with the keyword spotting system on broadcast news. The system searches the keyword speech in online broadcast news and extracts the articles including the keyword(s). To obtain a stable recognition performance, the system uses several speech processing techniques such as utterance verification, out-of-vocabulary rejection, audio classification, and noise reduction. We will show an overall configuration for our system and report technical advances as well as some experimental results. We also describe future works for the system improvements and the application for further complicate spoken documents like interviews or movies. | en |
| dc.language.iso | en_US | en |
| dc.publisher | IGNOIE | en |
| dc.title | KEYWORD SPOTTING IN BROADCAST NEWS | en |
| dc.type | Article | en |
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- CS-Conference Papers(학술회의논문)
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