文献类型：会议论文

英文题名：An Improved Speech Blind Separation Algorithm Based on Non-linear Function

作者：Li, Zhucheng[1]

第一作者：李著成

通讯作者：Li, ZC[1]

机构：[1]Beijing United Univ, Coll Business, Beijing 100025, Peoples R China

第一机构：北京联合大学商务学院

通讯机构：[1]corresponding author), Beijing United Univ, Coll Business, Beijing 100025, Peoples R China.|[1141721]北京联合大学商务学院;[11417]北京联合大学;

会议论文集：International Conference on Measurement, Instrumentation and Automation (ICMIA 2012)

会议日期：SEP 15-16, 2012

会议地点：Guangzhou, PEOPLES R CHINA

语种：英文

外文关键词：speech; blind source separation; step-size; non-linear function; convergence speed; steady-state misadjustment

摘要：This paper introduces a new algorithm based on non-linear function to adaptively control step-size which is used for updating separation matrix to extract a target speech source accurately in blind source separation (BSS). The use of fixed step-size parameter of the conventional BSS algorithm usually results in a trade-off between convergence speed and steady-state misadjustment. The presented algorithm will eliminate much of this trade-off. It intelligently regulates the step-size according to the time-varying dynamics of other parameters at each iteration. The desirable ability of the new algorithm to improve convergence speed and steady-state misadjustment is demonstrated by MATLAB simulation results.