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北海道大学サステナビリティ・ウィーク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  >

Selection of Reliable Likelihood Ratios for Statistical Model-Based Voice Activity Detection

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タイトル: Selection of Reliable Likelihood Ratios for Statistical Model-Based Voice Activity Detection
著者: Kim, Younggwan 著作を一覧する
Suh, Youngjoo 著作を一覧する
Kim, Hoirin 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: 623
終了ページ: 626
抄録: A statistical model-based voice activity detection (VAD) is a robust algorithm in noisy condition to detect speech region from input signal by speech and non-speech statistical model such as complex Gaussian probability density function (PDF). The decision rule used in this VAD is based on Bayes' rule and considers likelihood ratios (LRs) in whole frequency region. In this VAD, however, the Bayes' rule may cause a decision error. With the statistical model, we analyze why this problem happens and show how we can decrease the decision error by using the LRs at selected frequency bins having relatively high spectral power in each frame. The performance of this VAD is evaluated by receiver operating characteristic (ROC) curves and summarized in a table, and the results from proposed methods show better performances than those of typical statistical model-based VAD.
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/2115/39773
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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