Improved Laplacian Factor Estimation for Noisy Speech Enhancement

摘要：

Two novel approaches for Laplacian factor estimation are proposed for noisy speech enhancement employing Laplasian-Gaussian mixture model in discrete cosine transform domain. Based on the property of generalized Gaussian distribution model, the proposed approaches indirectly attain the estimation of Laplacian factor using its relationship with the variance of clean speech components under the Laplacian distribution assumption. The estimated results for Laplacian factor are accurate and uneffected by the noise energy, while keeping the resulting method simple. In simulations with speech signals degraded by different kinds of noise, the experimental results show the improved performance of the proposed algorithms.

关键词： speech enhancemen MMSE DCT Laplacian factor

作者: Shifeng Ou Xiaohui Zhao Ying Gao

作者单位: College of Communication Engineering, Jilin University, 130012, Changchun, China College of Communication Engineering, Jilin University, 130012, Changchun, China;Laboratoire dInfor College of Geoexploration Science and Technology, Jilin University, 130026, Changchun, China

会议类型: 国际会议

会议名称: 第三届IEEE无线通讯、网络技术暨移动计算国际会议

会议地点: 上海

会议语种:英文

在线出版日期: 2007-09-21（万方平台首次上网日期，不代表论文的发表时间）