Sound localisation with a silicon cochlea pair

André Van Schaik; Vincent Chan; Craig Jin

doi:10.1109/ICASSP.2009.4960054

Sound localisation with a silicon cochlea pair

André Van Schaik, Vincent Chan, Craig Jin

University of Sydney

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

7 Citations (Scopus)

Abstract

A neuromorphic sound localisation system is proposed. It employs two microphones and a pair of silicon cochleae with address event interface for front-end processing. This allows subsequent processing to be implemented with spike-based algorithms. The system is adaptive and supports online learning. Its localisation capability was tested with white noise and pure tone stimuli, with an average error of around 3° in the -45° to 45° range.

Original language	English
Title of host publication	2009 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings, ICASSP 2009
Pages	2197-2200
Number of pages	4
DOIs	https://doi.org/10.1109/ICASSP.2009.4960054
Publication status	Published - 2009
Externally published	Yes
Event	2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009 - Taipei, Taiwan, Province of China Duration: 19 Apr 2009 → 24 Apr 2009

Publication series

Name	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)	1520-6149

Conference

Conference	2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009
Country/Territory	Taiwan, Province of China
City	Taipei
Period	19/04/09 → 24/04/09

Keywords

Auditory neuroscience
Neuromorphic engineering
Sound localisation

Access to Document

10.1109/ICASSP.2009.4960054

Cite this

Van Schaik, A., Chan, V., & Jin, C. (2009). Sound localisation with a silicon cochlea pair. In 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings, ICASSP 2009 (pp. 2197-2200). Article 4960054 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). https://doi.org/10.1109/ICASSP.2009.4960054

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title = "Sound localisation with a silicon cochlea pair",

abstract = "A neuromorphic sound localisation system is proposed. It employs two microphones and a pair of silicon cochleae with address event interface for front-end processing. This allows subsequent processing to be implemented with spike-based algorithms. The system is adaptive and supports online learning. Its localisation capability was tested with white noise and pure tone stimuli, with an average error of around 3° in the -45° to 45° range.",

keywords = "Auditory neuroscience, Neuromorphic engineering, Sound localisation",

author = "{Van Schaik}, Andr{\'e} and Vincent Chan and Craig Jin",

year = "2009",

doi = "10.1109/ICASSP.2009.4960054",

language = "English",

isbn = "9781424423545",

series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

pages = "2197--2200",

booktitle = "2009 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings, ICASSP 2009",

note = "2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009 ; Conference date: 19-04-2009 Through 24-04-2009",

}

Van Schaik, A, Chan, V & Jin, C 2009, Sound localisation with a silicon cochlea pair. in 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings, ICASSP 2009., 4960054, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 2197-2200, 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009, Taipei, Taiwan, Province of China, 19/04/09. https://doi.org/10.1109/ICASSP.2009.4960054

Sound localisation with a silicon cochlea pair. / Van Schaik, André; Chan, Vincent; Jin, Craig.
2009 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings, ICASSP 2009. 2009. p. 2197-2200 4960054 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

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AU - Chan, Vincent

AU - Jin, Craig

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AB - A neuromorphic sound localisation system is proposed. It employs two microphones and a pair of silicon cochleae with address event interface for front-end processing. This allows subsequent processing to be implemented with spike-based algorithms. The system is adaptive and supports online learning. Its localisation capability was tested with white noise and pure tone stimuli, with an average error of around 3° in the -45° to 45° range.

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ER -

Sound localisation with a silicon cochlea pair

Abstract

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Conference

Keywords

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