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Proceedings Paper

A real-time biomimetic acoustic localizing system using time-shared architecture
Author(s): Marianne Nourzad Karl; Christian Karl; Allyn Hubbard
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Paper Abstract

In this paper a real-time sound source localizing system is proposed, which is based on previously developed mammalian auditory models. Traditionally, following the models, which use interaural time delay (ITD) estimates, the amount of parallel computations needed by a system to achieve real-time sound source localization is a limiting factor and a design challenge for hardware implementations. Therefore a new approach using a time-shared architecture implementation is introduced. The proposed architecture is a purely sample-base-driven digital system, and it follows closely the continuous-time approach described in the models. Rather than having dedicated hardware on a per frequency channel basis, a specialized core channel, shared for all frequency bands is used. Having an optimized execution time, which is much less than the system's sample rate, the proposed time-shared solution allows the same number of virtual channels to be processed as the dedicated channels in the traditional approach. Hence, the time-shared approach achieves a highly economical and flexible implementation using minimal silicon area. These aspects are particularly important in efficient hardware implementation of a real time biomimetic sound source localization system.

Paper Details

Date Published: 16 April 2008
PDF: 9 pages
Proc. SPIE 6963, Unattended Ground, Sea, and Air Sensor Technologies and Applications X, 696314 (16 April 2008); doi: 10.1117/12.784279
Show Author Affiliations
Marianne Nourzad Karl, Boston Univ. (United States)
Christian Karl, Boston Univ. (United States)
Allyn Hubbard, Boston Univ. (United States)

Published in SPIE Proceedings Vol. 6963:
Unattended Ground, Sea, and Air Sensor Technologies and Applications X
Edward M. Carapezza, Editor(s)

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