Auditory localization using direction-dependent spectral information

Daniel Gill*, Lidror Troyansky, Israel Nelken

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

7 Scopus citations

Abstract

This work presents a biologically motivated neuronal model for detecting the elevation of unfamiliar natural sound sources using monoaural cues, based on head-related-transfer functions. This model can determine the elevation of an unfamiliar sound source to within less than 4°with no error using very small number of training samples. In addition, we suggest that the approximate logarithmic response of the cells in the cochlea is beneficial for localizing unfamiliar sound sources. (C) 2000 Elsevier Science B.V. All rights reserved.

Original languageEnglish
Pages (from-to)767-773
Number of pages7
JournalNeurocomputing
Volume32-33
DOIs
StatePublished - Jun 2000
EventThe 8th Annual Computational Neuroscience Meeting (CNS'99) - Pittsburgh, PA, USA
Duration: 18 Jul 199922 Jul 1999

Keywords

  • Auditory localization
  • HRTF
  • Monoaural cues

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