文章基本信息

标题：Efficient β-order Perceptually Motivated Spectral Amplitude Bayesian Estimator Based On Chi-distribution for Speech Enhancement
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作者：Zhao, Huan ; Yang, Yong ; Lu, Zhiqiang 等
期刊名称：Journal of Computers
印刷版ISSN：1796-203X
出版年度：2012
卷号：7
期号：11
页码：2829-2835
DOI：10.4304/jcp.7.11.2829-2835
语种：English
出版社：Academy Publisher
摘要：The traditional Bayesian estimator of short-time spectral amplitude is based on the minimization of the squared-error cost function under the common Gaussian probability density function (pdf). The Gaussian distribution, however, is not the optimal probability distribution. To overcome this phenomenon, we considered to replace the traditional distribution hypothesis of spectral amplitude of speech in this paper. More precisely, we proposed a β-order perceptive Bayesian spectral amplitude estimator which incorporated the assumption of Super-Gaussian chi-distributed spectral amplitude. The new weighting function incorporated the perceptive property as well as the different importance of the spectral valley and peak. Experiments showed that the proposed estimator can achieve a more significant noise reduction and yield a better spectral estimation over the most of latest enhancement algorithms.
关键词：Bayesian Estimation; β-order;Perception;Speech Enhancement