武汉工程大学学报2012，Vol.34Issue(9)：70-74,5.DOI:10.3969/j.issn.1674-2869.2012.09.016
神经网络在通信系统回音对消中的应用
Application of neural network in echo cancellation of communication system
摘要
Abstract
Echo of the system affects the speech quality seriously and makes it difficult to communicate. Adaptive linear neural network was used to control echo effects of communication system. The echo cancellation system was established by adaptive linear neural network, and nonlinear variation results of voice was obtained. Adjusting the learning rate and the number of training, the best estimate of the echo signal was obtained by adaptive linear neural network, subtracting it from the original signal, and then echo cancellation was realized. Direct echo and indirect echo were eliminated from communication system in the experiments. In order to observe and analyze the results, MATLAB software was used to draw the corresponding signal spectrum and spectrogram. The simulation results show that the signal is enhanced after echo cancellation and echo is effectively reduced; the call has a high signal-to-noise ratio and people feel no echo.关键词
回音对消/滤波器/神经网络/语音通话Key words
echo cancellation/filter/neural network/speech conversation分类
信息技术与安全科学引用本文复制引用
余尤好..神经网络在通信系统回音对消中的应用[J].武汉工程大学学报,2012,34(9):70-74,5.基金项目
福建省教育科学"十二五"规划2012年度常规课题(FJCGGJ12-034) （FJCGGJ12-034）
