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Embedded neural networks in resource-constrained hearing instruments
Jelcicova, Zuzana
(PhD Student)
Sparsø, Jens
(Main Supervisor)
Hansen, Lars Kai
(Supervisor)
Hebsgaard, Anders
(Supervisor)
Atienza, David
(Examiner)
Kasapaki, Evangelia
(Supervisor)
Nunez-Yanez, José
(Examiner)
Embedded Systems Engineering
Department of Applied Mathematics and Computer Science
Cognitive Systems
Overview
Fingerprint
Publications
(1)
Project Details
Status
Finished
Effective start/end date
01/09/2019
→
12/05/2023
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Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Neural Network
Computer Science
100%
Embedded Neural Networks
Keyphrases
100%
Speech Recognition
Computer Science
50%
Memory Access
Computer Science
50%
Recurrent Neural Network
Computer Science
50%
Speech Enhancement
Computer Science
33%
Application Specific Integrated Circuit
Computer Science
33%
Internet of Things
Computer Science
16%
Research output
Publications per year
2022
2022
2022
1
Ph.D. thesis
Publications per year
Publications per year
Embedded Neural Networks in Resource-Constrained Hearing Instruments
Jelcicová, Z.,
2022
,
Technical University of Denmark
.
186 p.
Research output
:
Book/Report
›
Ph.D. thesis
Open Access
File
Neural Network
100%
Embedded Neural Networks
100%
Speech Recognition
50%
Recurrent Neural Network
50%
Memory Access
50%
231
Downloads (Pure)