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Query-by-Example Spoken Document Retrieval : The Star Challenge 2008

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Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/39702

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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