电子学报2012，Vol.40Issue(4)：762-768,7.DOI:10.3969/j.issn.0372-2112.2012.04.023
一种新的基于稀疏分解的单通道混合语音分离方法
A New Single-Channel Speech Separation Method Based on Sparse Decomposition
摘要
Abstract
This paper proposes a new single-channel speech separation method based on sparse decomposition.The new method is based on the construction algorithms of quasi-KLT bases proposed in this paper.First,it is proved that based on the ideal quasi-KLT bases generated from the sources,both sources can be perfectly separated from a single mixture by 1 exp(0) optimization.Then,considering the fact that the ideal quasi-KLT bases cannot be obtained in practice,orthogonal matching pursuit (OMP) template-matching quasi-KLT bases generated from the single mixture are first proposed,and then perform single-channel speech separation by 1 exp(0) optimization using the OMP template-matching quasi-KLT bases.Finally,simulation results demonstrating the perfect separation of both sources from a single-channel speech mixture by 1 exp(0) optimization using ideal quasi-KLT bases,as well as the effective performance of single-channel separation of two speech sources using the OMP template-matching quasi-KLT bases are presented.关键词
语音分离/稀疏分解/l exp (0)-范数优化/正交匹配追踪/Karhunen-Loeve变换Key words
speech separation/sparse decomposition/1 exp(0) optimization/orthogonal matching pursuit (OMP)/Karhunen-Loeve transform (KLT)分类
信息技术与安全科学引用本文复制引用
郭海燕,杨震,朱卫平..一种新的基于稀疏分解的单通道混合语音分离方法[J].电子学报,2012,40(4):762-768,7.基金项目
国家自然科学基金(No.60971129) （No.60971129）
中国博士后基金(No.20100481167) （No.20100481167）
南京农业大学工学院引进人才科研启动基金(No.rcqd11-02) （No.rcqd11-02）
