Enhancing acoustic sensory responsiveness by exploiting bio-inspired feedback computation

José Guerreiro; Joseph C. Jackson; James F. C. Windmill

doi:10.1109/ICASSP.2019.8682831

Enhancing acoustic sensory responsiveness by exploiting bio-inspired feedback computation

José Guerreiro, Joseph C. Jackson, James F. C. Windmill

Electronic And Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

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Abstract

Engineering acoustic sensors and systems that can be sensitive to small sound levels even when immersed by background noise may require out-of-the-box thinking. Biology can provide inspiration for that, allowing the engineering landscape to borrow interesting ideas and thus solve current human problems. Biological sensor and system designs are a result of many million years of evolutionary processes, which make them very-power efficient and well-adapted to perform their function in a living organism. This paper presents a theoretical study of a bio-inspired signal processing concept. The assumption is that by exploiting feedback computation between a front-end acoustic detector and a back-end neuronal based processing, the overall acoustic responsiveness of a sensory system can be controlled and enhanced to target signals of interest. Here, two methods of feedback signal entrainment are compared namely 1:1 and 2:1 resonance modes.

Original language	English
Title of host publication	2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings
Place of Publication	Piscataway, N.J.
Publisher	IEEE
Pages	1478-1482
Number of pages	5
Volume	2019-May
ISBN (Electronic)	978-1-4799-8131-1
DOIs	https://doi.org/10.1109/ICASSP.2019.8682831
Publication status	Published - 1 May 2019
Event	International Conference on Acoustics, Speech, and Signal Processing 2019: Signal Processing: Empowering Science and Technology for Humankind - Brighton, Brighton, United Kingdom Duration: 12 May 2019 → 17 May 2019 https://2019.ieeeicassp.org/

Conference

Conference	International Conference on Acoustics, Speech, and Signal Processing 2019
Abbreviated title	IEEE ICASSP 2019
Country/Territory	United Kingdom
City	Brighton
Period	12/05/19 → 17/05/19
Internet address	https://2019.ieeeicassp.org/

Keywords

bio-inspired acoustic sensor system
adaptive signal processing
nonlinear system dynamics
feedback computation
neuronal model

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10.1109/ICASSP.2019.8682831

Guerreiro-etal-Enhancing-acoustic-sensory-responsiveness-by-exploitingAccepted author manuscript, 761 KB

Cite this

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abstract = "Engineering acoustic sensors and systems that can be sensitive to small sound levels even when immersed by background noise may require out-of-the-box thinking. Biology can provide inspiration for that, allowing the engineering landscape to borrow interesting ideas and thus solve current human problems. Biological sensor and system designs are a result of many million years of evolutionary processes, which make them very-power efficient and well-adapted to perform their function in a living organism. This paper presents a theoretical study of a bio-inspired signal processing concept. The assumption is that by exploiting feedback computation between a front-end acoustic detector and a back-end neuronal based processing, the overall acoustic responsiveness of a sensory system can be controlled and enhanced to target signals of interest. Here, two methods of feedback signal entrainment are compared namely 1:1 and 2:1 resonance modes.",

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Guerreiro, J, Jackson, JC & Windmill, JFC 2019, Enhancing acoustic sensory responsiveness by exploiting bio-inspired feedback computation. in 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. vol. 2019-May, 8682831, IEEE, Piscataway, N.J., pp. 1478-1482, International Conference on Acoustics, Speech, and Signal Processing 2019, Brighton, United Kingdom, 12/05/19. https://doi.org/10.1109/ICASSP.2019.8682831

Enhancing acoustic sensory responsiveness by exploiting bio-inspired feedback computation. / Guerreiro, José; Jackson, Joseph C.; Windmill, James F. C.

2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Vol. 2019-May Piscataway, N.J. : IEEE, 2019. p. 1478-1482 8682831.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

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N1 - © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

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Enhancing acoustic sensory responsiveness by exploiting bio-inspired feedback computation

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Keywords

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