TY - GEN
T1 - Poster Abstract
T2 - 21st ACM Conference on Embedded Networked Sensors Systems, SenSys 2023
AU - Gallacher, Markus
AU - Boano, Carlo Alberto
AU - Sankar, M. S.Arun
AU - Roedig, Utz
AU - Lunardi, Willian T.
AU - Baddeley, Michael
N1 - Publisher Copyright:
© 2023 Copyright held by the owner/author(s). Publication rights licensed to ACM.
PY - 2023/11/12
Y1 - 2023/11/12
N2 - Voice is a convenient and popular way to interact with our digital 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 underlying 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.
AB - Voice is a convenient and popular way to interact with our digital 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 underlying 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.
KW - embedded systems
KW - machine learning
KW - speaker identification
UR - https://www.scopus.com/pages/publications/85192766724
U2 - 10.1145/3625687.3628387
DO - 10.1145/3625687.3628387
M3 - Conference proceeding
AN - SCOPUS:85192766724
T3 - SenSys 2023 - Proceedings of the 21st ACM Conference on Embedded Networked Sensors Systems
SP - 518
EP - 519
BT - SenSys 2023 - Proceedings of the 21st ACM Conference on Embedded Networked Sensors Systems
PB - Association for Computing Machinery, Inc
Y2 - 13 November 2023 through 15 November 2023
ER -