基于声门脉冲的自适应时延估计算法  

Speech signal adaptive time delay estimation based on glottal pulses

作　　者：郭威[1] 曾庆宁[1] 刘庆华[1] 唐江波[1] 

机构地区：[1]桂林电子科技大学通信与信息工程系,广西桂林541004

出　　处：《计算机应用研究》2008年第3期726-728,共3页Application Research of Computers

基　　金：国家自然科学基金资助项目(60272038);广西科学基金资助项目(0639028);广西青年科学基金资助项目(0447052)

摘　　要：在研究LMS自适应算法的基础上,提出一种基于声门脉冲的变步长LMS自适应时延估计新方法,并在相关噪声和混响的环境下与互功率谱相位广义互相关法(GCC-CSP)、变步长LMS自适应算法进行性能比较。实验结果表明,新方法具有很好的鲁棒性,即使在低信噪比强混响的环境下也能获得有效的时延估计。This paper presented a speech signal variable step size LMS time delay estimation method based on glottal pulses in detail. Considered with the presence of correlated noise and reverberation, assessed the validity of the new algorithm by experiments with fan noise source in simulated reverberant room. Furthermore,compared it with the GCC-CSP method and the variable step size LMS algorithm. As a result that the new approach is superior and robust. Even in the environment of low SNR and strong reverberation, the proposed method can also give effectual time estimation.

关 键 词：时延估计 声门脉冲提取 Hilbert包络 削波 自适应 

分 类 号：TP912.3[自动化与计算机技术]