计算机工程2011，Vol.37Issue(23)：181-182,185,3.
背景噪声下的语音信号分离
Speech Signal Separation Under Background Noise
摘要
Abstract
Because of background noisy, there is a problem of directly separating the mixed-signal observed usually can not achieve good results. The basic principle and algorithms of independent component analysis is illustrated. Considering characteristic of Kalman filtering, the speeches under background noisy are denoisied; and speeches are separated by the FastICA algorithms. Simulation results indicate the availability and efficiency of this method.关键词
独立分量分析/背景噪声/卡尔曼滤波/语音分离/FastICA算法Key words
Independent Component Analysis(ICA)/ background noise/ Kalman filtering/ speech separation/ FastICA algorithm分类
信息技术与安全科学引用本文复制引用
云晓花,景新幸..背景噪声下的语音信号分离[J].计算机工程,2011,37(23):181-182,185,3.基金项目
国家自然科学基金资助项目(609661002) （609661002）
