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基于掩蔽效应的改进型自适应语音增强算法
引用本文:龚亮,张艳萍.基于掩蔽效应的改进型自适应语音增强算法[J].南京气象学院学报,2010(6):529-532.
作者姓名:龚亮  张艳萍
作者单位:南京信息工程大学电子与信息工程学院, 南京 210044;南京信息工程大学电子与信息工程学院, 南京 210044
摘    要:在分析经典自适应滤波算法的基础之上提出了一种有效的消除噪声且减小语音失真的语音增强方法.为了进一步提高语音增强效果,根据人耳掩蔽效应把语音信号中关键频率段的阈值作为自适应滤波算法的动态系数,根据此系数估算误差函数.在Matlab上对此算法输入不同信噪比的信号,仿真结果表明:输出的信噪比明显高于传统滤波算法,且残留噪声较小.

关 键 词:语音增强  听觉掩蔽效应  自适应滤波
收稿时间:2010/1/10 0:00:00

Modified adaptive speech enhancement based on masking properties of human auditory system
GONG Liang and ZHANG Yanping.Modified adaptive speech enhancement based on masking properties of human auditory system[J].Journal of Nanjing Institute of Meteorology,2010(6):529-532.
Authors:GONG Liang and ZHANG Yanping
Institution:School of Electronic & Information Engineering, Nanjing University of Information Science & Technology, Nanjing 210044;School of Electronic & Information Engineering, Nanjing University of Information Science & Technology, Nanjing 210044
Abstract:Based on the analysis of classical adaptive filtering algorithm,an effective speech enhancement algorithm is proposed,which could reduce noise and distortion effectively.According to the auditory masking properties,this algorithm uses masking thresholds of the key frequency segments as dynamic coefficients,to further improve the effect of speech enhancement and estimate error function dynamically.Signals with different SNR are input to simulate this proposed algrithm on Matlab.The high SNR and low residual noise of the output signals show that the algrithm is better than traditional filtering algrithms.
Keywords:speechenhancement  auditorymaskingproperties  adaptivefiltering
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