Binaural sound source localization using machine learning with spiking neural networks features extraction
Journal: University of Salford Institutional Repository (University of Salford)
Year: 2019

Human and animal binaural hearing systems are able take advantage of a variety of cues to localise sound-sources in a 3D space using only two sensors. This work presents a bionic system that utilises aspects of binaural hearing in an automated source localisation task. A head and torso emulator (KEMAR) are used to acquire binaural signals and a spiking neural network is used to compare signals from the two sensors.&lt;br/&gt;&#13;\n&lt;br/&gt;&#13;\nThe firing rates of coincidence-neurons in the