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Audiovisual speech analysis with deep learning
Pedersen, Nicolai
(PhD Student)
Tan, Zheng-Hua
(Examiner)
Yehia, Hani Camille
(Examiner)
May, Tobias
(Examiner)
Hjortkjær, Jens
(Main Supervisor)
Dau, Torsten
(Supervisor)
Hansen, Lars Kai
(Supervisor)
Department of Health Technology
Computational auditory modeling
Hearing Systems Section
Cognitive Systems
Department of Applied Mathematics and Computer Science
Overview
Fingerprint
Publications
(1)
Project Details
Status
Finished
Effective start/end date
01/06/2018
→
08/04/2022
Funding
Fonde
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Fingerprint
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.
Speech Analysis
Computer Science
100%
Speech Acoustics
Computer Science
100%
Deep Learning
Computer Science
100%
Speaker Cues
Keyphrases
75%
Correlation Analysis
Computer Science
50%
Human Speech Perception
Computer Science
50%
Driven Approach
Computer Science
50%
Speech Recognition System
Computer Science
50%
Research output
Research output per year
2021
2021
2021
1
Ph.D. thesis
Research output per year
Research output per year
Audiovisual speech analysis with deep learning
Pedersen, N. F.,
2021
,
DTU Health Technology
.
119 p.
(Contributions to Hearing Research, Vol. 50).
Research output
:
Book/Report
›
Ph.D. thesis
Open Access
File
Speech Analysis
100%
Speech Acoustics
100%
Deep Learning
100%
Speaker Cues
75%
Speech Recognition System
50%
85
Downloads (Orbit)