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This work presents an approach to generate 3D sound by using a set of artificial neural networks (ANNs). The proposed method is capable to reconstruct the Head Related Impulse Responses (HRIRs) by means of spatial interpolation. In order to cover the whole reception auditory space, without increasing the network complexity, a structure of multiple networks (set), each one modeling a specific area was adopted. The three main factors that influence the model accuracy --- the network'sdoaj:d555208bd3e841d7aa32db20296eed80 fatcat:kecvhnl66zgbbciwopbdyaszfq