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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  >

Noise robust speech recognition using spectral subtraction and F0 information extracted by Hough transform

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タイトル: Noise robust speech recognition using spectral subtraction and F0 information extracted by Hough transform
著者: Yasui, Hideki 著作を一覧する
Shinoda, Koichi 著作を一覧する
Furui, Sadaoki 著作を一覧する
Iwano, Koji 著作を一覧する
発行日: 2009年10月 4日
出版者: Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference, International Organizing Committee
誌名: Proceedings : APSIPA ASC 2009 : Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference
開始ページ: 631
終了ページ: 634
抄録: We propose a noise robust speech recognition method based on combining novel features extracted from fundamental frequency (F0) information and spectral subtraction. F0 features have been shown to be effective in speech recognition in noisy environments. Recently, F0 features obtained by Hough transform were developed for concatenated digit recognition and significantly improved recognition performance of noisy speech. This paper proposes novel features based on Hough transform for large-vocabulary continuous speech recognition. In addition, spectral subtraction is applied before Hough transform to remove static noise. The proposed method was tested using the Japanese Newspaper Article Sentences (JNAS) database. Word accuracy was improved in all noise conditions, with the best absolute improvement being 2.6 points in percentage when station noise was added at 10 dB SNR.
記述: 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).
資料タイプ: proceedings
URI: http://hdl.handle.net/2115/39775
出現コレクション: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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