Speech Enhancement With Bivariate Gamma Model

被引：0

作者：

Saha, Atanu ^{[1
]}

Shimamura, Tetsuya ^{[1
]}

机构：

[1] Saitama Univ, Grad Sch Sci & Engn, Saitama 3388570, Japan

来源：

13TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2012 (INTERSPEECH 2012), VOLS 1-3 | 2012年

关键词：

speech enhancement; bivariate Gamma model; Gaussian distribution; correlated spectral components; SPECTRAL AMPLITUDE ESTIMATION; ESTIMATOR;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we propose a family of Bayesian estimators for single channel speech enhancement. Three different kinds of enhancement estimators are derived from the statistics of bivariate Gamma model. In the Gamma model, it is assumed that the spectral components are correlated with each other. The experimental results show that the proposed estimators are effective for speech enhancement compared to state-of-the-art estimators.

引用

页码：934 / 937

页数：4

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