Poster Abstract: Towards Speaker Identification on Resource-Constrained Embedded Devices

Markus Gallacher, Carlo Alberto Boano, M.S. Arun Sankar, Utz Rödig, Willian T. Lunardi, Michael Baddeley

Research output: Contribution to conferencePosterpeer-review

Abstract

Voice is a convenient and popular way to interact with our dig-
ital world. Besides translating speech to text, it is also possible
to identify speakers based on their voice profile. To date, speaker
identification has predominantly been limited to high-performance
computational platforms owing to the intricate nature of the under-
lying algorithms. In this work, we demonstrate that it is possible to
reduce model complexity by the required factor of ∼10, such that
speaker identification can be made feasible for embedded devices
with limited resources. We further describe and discuss novel use
cases, such as voice-based presence detection and authentication,
that become feasible on these class of devices.
Original languageEnglish
Publication statusAccepted/In press - 26 Sept 2023
Event21st ACM Conference on Embedded Networked Sensor Systems: SenSys 2023 - Bahcesehir University, Istanbul, Turkey
Duration: 13 Nov 202315 Nov 2023
https://sensys.acm.org/2023/

Conference

Conference21st ACM Conference on Embedded Networked Sensor Systems
Abbreviated titleSenSys
Country/TerritoryTurkey
CityIstanbul
Period13/11/2315/11/23
Internet address

Fields of Expertise

  • Information, Communication & Computing

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