Improved Global-Soft Decision Incorporating Second-Order Conditional MAP for Speech Enhancement 


Vol. 34,  No. 6, pp. 588-592, Jun.  2009


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  Abstract

In this paper, we propose a novel method to improve the performance of the global soft decision which is based on the second-order conditional maximum a posteriori (CMAP). Conventional global soft decision scheme has an disadvantage in that the speech absence probability adjusted by a fixed-parameter was sensitive to the various noise environments. In proposed approach using the second-order CMAP, speech absence probability value is more flexible which exploit not only the current observation but also the speech activity decisions in the previous two frames. Experimental results show that the proposed improved global soft decision method based on second-order conditional MAP yields better results compared to the conventional global soft decision technique with the performance criteria of the ITU-T P. 862 perceptual evaluation of speech quality (PESQ).

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  Cite this article

[IEEE Style]

J. Kum and J. Chang, "Improved Global-Soft Decision Incorporating Second-Order Conditional MAP for Speech Enhancement," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 6, pp. 588-592, 2009. DOI: .

[ACM Style]

Jong-Mo Kum and Joon-Hyuk Chang. 2009. Improved Global-Soft Decision Incorporating Second-Order Conditional MAP for Speech Enhancement. The Journal of Korean Institute of Communications and Information Sciences, 34, 6, (2009), 588-592. DOI: .

[KICS Style]

Jong-Mo Kum and Joon-Hyuk Chang, "Improved Global-Soft Decision Incorporating Second-Order Conditional MAP for Speech Enhancement," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 6, pp. 588-592, 6. 2009.