AES E-Library

AES E-Library

Neural Network Approach to Analyze Spatial Sound

Document Thumbnail

Self-organizing maps (SOM) and multilayer perception (MLP) neural network approaches are applied to the evaluation of spatial discrimination of real and virtual sound sources. Neural networks are trained with localization cues computed using a binaural model. The ability of the models to simulate human perception of spatial sound is analyzed.

Authors:
Affiliation:
AES Conference:
Paper Number:
Publication Date:
Subject:
Permalink: http://www.aes.org/e-lib/browse.cfm?elib=8032

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 and would like to subscribe to the E-Library then Join the AES!

This paper costs $33 for non-members and is free for AES members and E-Library subscribers.

Learn more about the AES E-Library

E-Library Location:

Start a discussion about this paper!


AES - Audio Engineering Society