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IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 3
Modeling Non-Individualized Binaural Sound Localization in the Horizontal Plane Using Artificial Neural Networks
Como, Italy
July 24-July 27
ISBN: 0-7695-0619-4
Lately research concerned with spatial hearing and the binaural sound localization parameters has conducted a new approach in dealing with the matter through involving neural networks and making the network localize the sound source. In this process, the head related transfer function data of a certain person is used to train the neural network and test its performance. In this paper we present the application of artificial neural networks in order to localize the sound using non-individualized head related transfer function (HRTF), i.e. a network that would achieve a satisfying result concerning the error percentage when being related transfer function.
Citation:
Onsy Abdel Alim, Hania Farag, "Modeling Non-Individualized Binaural Sound Localization in the Horizontal Plane Using Artificial Neural Networks," ijcnn, vol. 3, pp.3642, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 3, 2000
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