期刊文献+

窄带噪声下的子空间语音增强算法 被引量:5

Speech Enhancement Based on Subspace Method for Narrowband Noise
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摘要 传统的子空间语音增强方法在推导过程中,一般假定噪声的方差矩阵是满秩的.在窄带噪声或者音调噪声下这一条件就不能满足.文中采用直接对噪声信号进行子空间白化的方法,将传统的子空间语音增强方法推广到了窄带噪声的情况,仿真结果表明了该算法的有效性. A single channel speech enhancement method for noisy speech signals is proposed based on the subspace method. Conditional subspace based enhancement methods require that the noise covariance matrix is full-ranked. Unfortunately this is not satisfied in case of narrowband noise or tonal noise. The proposed method directly deals with rank-deficient noise using a subspace whitening method. Experimental results demonstrate the effectiveness of the proposed algorithms.
出处 《应用科学学报》 CAS CSCD 北大核心 2007年第3期243-246,共4页 Journal of Applied Sciences
基金 国家自然科学基金(60472058) 教育部博士点基金(20050286001) 教育部新世纪优秀人才支持计划(NCET-04-0483)资助项目
关键词 语音增强 子空间 降秩 speech enhancement subspace rank-deficient
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参考文献12

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同被引文献50

  • 1黄海全,刘禹杰.基于LMS算法的自适应噪声抵消器的设计与实现[J].广西通信技术,2011(4):36-40. 被引量:2
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