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Query-by-Example Spoken Document Retrieval : The Star Challenge 2008
Title: | Query-by-Example Spoken Document Retrieval : The Star Challenge 2008 |
Authors: | Li, Haizhou Browse this author | Sim, Khe Chai Browse this author | Singh, Vivek Browse this author | Lye, Kin Mun Browse this author |
Issue Date: | 4-Oct-2009 |
Publisher: | Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference, International Organizing Committee |
Journal Title: | Proceedings : APSIPA ASC 2009 : Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference |
Start Page: | 319 |
End Page: | 323 |
Abstract: | In this paper, we give an update of recent research activities in HLT department of I2R in query-by-example spoken document retrieval (SDR) and report an evaluation campaign, the Star Challenge 2008, which was organized by A*STAR, Singapore. It is suggested that low-level feature-based approach, which does not rely on error-prone speech transcripts, is a promising solution to query-by-example multilingual spoken document retrieval. |
Description: | APSIPA ASC 2009: Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference. 4-7 October 2009. Sapporo, Japan. Oral session: Initiatives in Spoken Document Processing (6 October 2009). |
Conference Name: | APSIPA ASC 2009: Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference | 2009年アジア太平洋信号情報処理連合学会アニュアルサミット・国際会議 |
Conference Place: | Sapporo |
Type: | proceedings |
URI: | http://hdl.handle.net/2115/39702 |
Appears in Collections: | 北海道大学サステナビリティ・ウィーク2009 (Sustainability Weeks 2009) > 2009年アジア太平洋信号情報処理連合学会アニュアルサミット・国際会議 (2009 APSIPA Annual Summit and Conference)
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