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Forecasting Sound Impulse Response Using Neural Network

To improve the computation of sound impulse response for the virtual audio environment technique, a neural network approach has been developed to forecast the sound impulse response from the computed data obtained with simulation software. A three-layered neural network was used. Methodology of the approach and optimum architecture of the network are described. Application examples are presented and compared with practical response.

Authors: Meng, Zihou; Morimoto, M.; Bi, Guoan; Kot, C. Alex
Affiliations: Environmental Acoustics Laboratory, Kobe University, Kobe, Japan ; School of EEE, Nanyang Technological University, Singapore(See document for exact affiliation information.)
AES Convention:108 (February 2000) Paper Number:5125 Import into BibTeX
Subject:Signal Processing

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E-Library Location: (CD aes15)   /pp9900/pp0002/5125.pdf

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