Neural Networks Applied to Sound Localization Detection
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.
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