%0 Journal Article
%T An Artificial Neural Network Method in Acoustical Simulation<br>声学仿真中的人工神经网络方法
%A ZHANG Qiong
%A SHI Jiao ying
%A <br>张琼
%A 石教英
%J 软件学报
%D 1998
%I 
%X Although most scholars have realized the importance of 3 D realistic sound embedded in future human computer interaction, there are still many obstacles to overcome. After intensive investigation of the current research situations, an improved HRTF (head related transfer function) model on the basis of neural network method was introduced to generate 3 D realistic sound. The HRTFs data employed can be reset by network training to satisfy a variety of requirements. Furthermore, with the utilization of neural network's nonlinearity approximation ability,all the HRTFs data(including magnitude characteristics and phase characteristics)at any incident angles can be obtained based on discrete sample values.Experiment and verification demonstrate the effectiveness and correctiveness of this scheme.
%K Artificial neural network
%K HRTF(head
%K related transfer function)
%K 3
%K D realistic sound
%K Class number\ TP391<br>人工神经网络
%K 与头部相关的传递函数
%K 三维真实感声音
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7735F413D429542E610B3D6AC0D5EC59&aid=5EADB151096CB179B83636E5E98F6E04&yid=8CAA3A429E3EA654&vid=9CF7A0430CBB2DFD&iid=CA4FD0336C81A37A&sid=DF92D298D3FF1E6E&eid=FC0714F8D2EB605D&journal_id=1000-9825&journal_name=软件学报&referenced_num=3&reference_num=26