基于独立分量分析的瞬时混合语音信号盲分离算法研究

Research on the Blind Source Separation Algorithm of Instantaneously Mixed Speech Signals Based on ICA(Independent Component Analysis)

近些年,信号处理在理论与方法方面发展速度很快,独立分量分析技术已成了信号处理领域内重要的组成部分。讨论了线性瞬时混合情况下,语音信号盲分离的算法,阐述了算法的原理,并进行了实验仿真,以此来证明算法的有效性。

Recently,theories and methods of signal processing are developing quickly,and ICA has become an important part of signal processing field. This paper discusses the blind source separation algorithm of speech signals under the linear instantaneous mixture,expounds the principles of this algorithm,and makes the experimental simulation for proving the effectiveness of this algorithm.