An auditory process model for sound localization
An auditory process model for sound localization
An auditory process model for sound localization in the horizontal plane is presented in this paper. Based on equalization-cancellation (EC) theory, the binaural processor produces excitation-inhibition (EI) cell activity patterns at each frequency band, which are, then, combined by the central processor employing simple template-matching method. Gain and delay errors have been introduced at the end of the peripheral process in order to accommodate the imperfection possibly present in human EC process. These parameters have been adjusted to fit the model performance to that of human listeners described in a few published subjective experiments. A certain value of the gain error has been found to give an acceptable model prediction in terms of the mean error and standard deviation
122-125
Park, M.
9b3514af-1639-4c21-981e-b8831a4817ba
Nelson, P.A.
5c6f5cc9-ea52-4fe2-9edf-05d696b0c1a9
Kim, Y.
1b151f34-277a-4414-b508-f944c626d90d
21 November 2005
Park, M.
9b3514af-1639-4c21-981e-b8831a4817ba
Nelson, P.A.
5c6f5cc9-ea52-4fe2-9edf-05d696b0c1a9
Kim, Y.
1b151f34-277a-4414-b508-f944c626d90d
Park, M., Nelson, P.A. and Kim, Y.
(2005)
An auditory process model for sound localization.
In IEEE Workshop on Applications of Signal Processing to Audio and Acoustics.
IEEE.
.
(doi:10.1109/ASPAA.2005.1540184).
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Conference or Workshop Item
(Paper)
Abstract
An auditory process model for sound localization in the horizontal plane is presented in this paper. Based on equalization-cancellation (EC) theory, the binaural processor produces excitation-inhibition (EI) cell activity patterns at each frequency band, which are, then, combined by the central processor employing simple template-matching method. Gain and delay errors have been introduced at the end of the peripheral process in order to accommodate the imperfection possibly present in human EC process. These parameters have been adjusted to fit the model performance to that of human listeners described in a few published subjective experiments. A certain value of the gain error has been found to give an acceptable model prediction in terms of the mean error and standard deviation
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Published date: 21 November 2005
Venue - Dates:
IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, New Paltz, New York, USA, 16-19 October 2005, 2005-01-01
Identifiers
Local EPrints ID: 468723
URI: http://eprints.soton.ac.uk/id/eprint/468723
PURE UUID: fd5a018c-70b9-42e2-93b3-831c815223fa
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Date deposited: 23 Aug 2022 16:59
Last modified: 17 Mar 2024 02:32
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Contributors
Author:
M. Park
Author:
Y. Kim
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