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Component reduction technique for covariance matrix of multidimensional Gaussian distribution in Speech Recognition

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Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/39778

Title: Component reduction technique for covariance matrix of multidimensional Gaussian distribution in Speech Recognition
Authors: Seyoshi, Eiichi Browse this author
Yamamoto, Kazumasa Browse this author
Nakagawa, Seiichi 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: 644
End Page: 647
Abstract: Recently, speech recognition systems are in practical use as an input device of a car navigation system, etc. However, since the computational and storage resources are usually limited for a car navigation system, these systems are required to achieve high recognition performance with the limited resource. In this paper, we propose a method that reduces the components of full covariance matrix considering only the dominant correlation components between static and dynamic feature parameters. The recognition experiment was performed by using the conventional and the proposed method, and both were compared. From the continuous syllable recognition result, we confirmed the effectiveness of proposed component reduction technique considering the correlation between parameters.
Description: APSIPA ASC 2009: Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference. 4-7 October 2009. Sapporo, Japan. Poster session: Automatic Speech Recognition (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/2115/39778
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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