Improved Global Soft Decision Incorporating Second-Order Conditional MAP in Speech Enhancement
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概要
- 論文の詳細を見る
In this paper, we propose a novel method based on the second-order conditional maximum a posteriori (CMAP) to improve the performance of the global soft decision in speech enhancement. The conventional global soft decision scheme is found through investigation to have a disadvantage in that the global speech absence probability (GSAP) in that scheme is adjusted by a fixed parameter, which could be a restrictive assumption in the consecutive occurrences of speech frames. To address this problem, we devise a method to incorporate the second-order CMAP in determining the GSAP, which is clearly different from the previous approach in that not only current observation but also the speech activity decisions of the previous two frames are exploited. Performances of the proposed method are evaluated by a number of tests in various environments and show better results than previous work.
- （社）電子情報通信学会の論文
- 2010-06-01
著者
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Chang Joon-hyuk
Department Of Electrical And Computer Engineering University Of California At Santa Barbara
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Kum Jong-mo
Department Of Electronic Engineering Inha University
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- Improved Global Soft Decision Incorporating Second-Order Conditional MAP in Speech Enhancement