DCT-Based Speech Enhancement Using a New Speech Variance Estimation

摘要：

This paper proposes a new speech variance estimation algorithm for speech enhancement which operates in the Discrete Cosine Transform (DCT) domain. The estimation method is based on the definition of variance and derived under the simple Gaussian distribution assumption for noise and speech components, which is in agreement with the DCT-based speech enhancement framework. The proposed method can be updated adaptively without making use of a weighting factor; it overcomes the disadvantage in the original algorithm that the trade off between the noise reduction and speech distortion brought into the signal can not be satisfied availably. A number of subjective and objective tests under various conditions show the improved performance of the proposed algorithm.

关键词： speech enhancement speech variance DCT

作者: Ou Shifeng Zhao Xiaohui

作者单位: College of Communication Engineering,Jilin University,Changchun,Jilin 130012,China College of Communication Engineering,Jilin University,Changchun,Jilin 130012,China;Laboratoire dInf

会议类型: 国际会议

会议名称: 第二届IEEE无线通讯、网络技术暨移动计算国际会议

会议地点: 武汉

会议语种:英文

在线出版日期: 2006-09-01（万方平台首次上网日期，不代表论文的发表时间）