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.
(See document for exact affiliation information.)
Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member Join the AES. If you need to check your member status, login to the Member Portal.
