计算机工程与应用 ›› 2007, Vol. 43 ›› Issue (30): 77-78.

• 学术探讨 • 上一篇    下一篇

一种新的用于语音分离的盲源分离算法

职振华1,马建芬2,张雪英1   

  1. 1.太原理工大学 信息工程学院,太原 030024
    2.太原理工大学 计算机与软件学院,太原 030024
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-10-21 发布日期:2007-10-21
  • 通讯作者: 职振华

New blind source separation algorithm applied to speech separation algorithm

ZHI Zhen-hua1,MA Jian-fen2,ZHANG Xue-ying1   

  1. 1.Information Engineering Institute,Taiyuan University of Technology,Taiyuan 030024,China
    2.Computer Science and Software Institute,Taiyuan University of Technology,Taiyuan 030024,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-10-21 Published:2007-10-21
  • Contact: ZHI Zhen-hua

摘要: 提出了一种基于自然梯度的语音盲分离改进算法。该算法首先使用奇异值分解(SVD)的方法对观测信号进行预白化处理,而后使用自然梯度算法对预白化处理后的观测信号进行分离。通过计算机模拟试验,结果显示该算法能够有效地分离随机混合的自然语音信号。

Abstract: This paper presents an improved speech blind separation algorithm based on natural gradient algorithm.The first step performs pre-whitening.An algorithm based on Singular Value Decomposition(SVD) is proposed for pre-whitening.Then recovers unknown independent sources from pre-whitening observed mixtures.It has examined the algorithm by computer.Simulation results demonstrate the algorithm can effectively separate random mixing natural speech signals.