Journal Forum

Sound Board: High-Resolution Audio - October 2015

Synchronized Swept-Sine: Theory, Application, and Implementation - October 2015

Effect of Microphone Number and Positioning on the Average of Frequency Responses in Cinema Calibration - October 2015
1 comment

Access Journal Forum

AES E-Library

Neural Networks Applied to Sound Localization Detection

Document Thumbnail

The primary aim of this paper is to show that it is possible to localize the direction of the incoming acoustical signal based on the neural network trained for that purpose. Consequently, the automatically localized acoustical signal may be attenuated if it obscures the desired target sound. A set of parameters was formulated in order to localize target source and unwanted signals. In order to process acoustical signals incoming from various directions at the same time the neural network-based system was designed and implemented. The feature extraction method is thoroughly discussed, the training process is described and recently obtained results are discussed.

AES Convention: Paper Number:
Publication Date:

Click to purchase paper 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 $20 for non-members, $5 for AES members and is free for E-Library subscribers.

Learn more about the AES E-Library

E-Library Location:

Start a discussion about this paper!

Facebook   Twitter   LinkedIn   Google+   YouTube   RSS News Feeds  
AES - Audio Engineering Society