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 language | English |
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Pages (from-to) | 767-773 |
Number of pages | 7 |
Journal | Neurocomputing |
Volume | 32-33 |
DOIs | |
State | Published - Jun 2000 |
Event | The 8th Annual Computational Neuroscience Meeting (CNS'99) - Pittsburgh, PA, USA Duration: 18 Jul 1999 → 22 Jul 1999 |
Keywords
- Auditory localization
- HRTF
- Monoaural cues