Projekte pro Jahr
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.
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.
| Originalsprache | englisch |
|---|---|
| Publikationsstatus | Angenommen/In Druck - 26 Sept. 2023 |
| Veranstaltung | 21st ACM Conference on Embedded Networked Sensor Systems: SenSys 2023 - Bahcesehir University, Istanbul, Türkei Dauer: 13 Nov. 2023 → 15 Nov. 2023 https://sensys.acm.org/2023/ |
Konferenz
| Konferenz | 21st ACM Conference on Embedded Networked Sensor Systems |
|---|---|
| Kurztitel | SenSys |
| Land/Gebiet | Türkei |
| Ort | Istanbul |
| Zeitraum | 13/11/23 → 15/11/23 |
| Internetadresse |
Fields of Expertise
- Information, Communication & Computing
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Untersuchen Sie die Forschungsthemen von „Poster Abstract: Towards Speaker Identification on Resource-Constrained Embedded Devices“. Zusammen bilden sie einen einzigartigen Fingerprint.Projekte
- 2 Laufend
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SPiDR - Sichere, leistungsfähige, zuverlässige und widerstandsfähige drahtlose Mesh-Netzwerke
Römer, K. U., Schuß, M., Boano, C. A., Gallacher, M., Schuh, M. P. & Basic, F.
1/07/21 → 31/12/24
Projekt: Forschungsprojekt
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Intelligent & Networked Embedded Systems
Boano, C. A., Römer, K. U., Schuß, M., Cao, N., Saukh, O., Hofmann, R., Stocker, M., Schuh, M. P., Papst, F., Salomon, E., Brunner, H., Gallacher, M., Mohamed Hydher, M. H., Wang, D., Corti, F., Krisper, M., Basic, F. & Petrovic, K.
1/09/13 → 31/12/24
Projekt: Arbeitsgebiet
Auszeichnungen
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Best poster runner-up for "Towards Speaker Identification on Resource-Constrained Embedded Devices"
Gallacher, Markus (Empfänger/-in), Boano, Carlo Alberto (Empfänger/-in), Sankar, M.S. Arun (Empfänger/-in), Roedig, Utz (Empfänger/-in), Lunardi, Willian T. (Empfänger/-in) & Baddeley, Michael (Empfänger/-in), 15 Nov. 2023
Auszeichnung: Preise / Medaillen / Ehrungen