Enhancing acoustic sensory responsiveness by exploiting bio-inspired feedback computation

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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 languageEnglish
Title of host publication2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings
Place of PublicationPiscataway, N.J.
PublisherIEEE
Pages1478-1482
Number of pages5
Volume2019-May
ISBN (Electronic)978-1-4799-8131-1
DOIs
Publication statusPublished - 1 May 2019
EventInternational Conference on Acoustics, Speech, and Signal Processing 2019: Signal Processing: Empowering Science and Technology for Humankind - Brighton, Brighton, United Kingdom
Duration: 12 May 201917 May 2019
https://2019.ieeeicassp.org/

Conference

ConferenceInternational Conference on Acoustics, Speech, and Signal Processing 2019
Abbreviated titleIEEE ICASSP 2019
CountryUnited Kingdom
CityBrighton
Period12/05/1917/05/19
Internet address

Keywords

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

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