An Adaptive Fuzzy Neural Network for Eztracting Scene Image Parameters
As the most important objective parameters, reverberation time and clarity play significant roles in acoustic field characteristics evaluation of the hall. We can get it by measuring an actual room. In this paper, a new method is proposed based on adaptive fuzzy neural network to extract the reverberation time and clarity from a scene image. Finally the validity of the network is proved through the experiment results of network training on the test data. It provides a brand-new idea for virtual reality technique and sound quality evaluation of virtual environment with using this method.
Wei Gong Donghui Feng Xin Feng
School of Computer, Communication University of China, Beijing, 100024, China School of Information Science and Technology, Liaoning University, Shenyang, 100036, China
国际会议
三亚
英文
1400-1403
2009-04-24（万方平台首次上网日期，不代表论文的发表时间）