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Predicting the intelligibility of processed noisy speech based on the signal-to-noise ratio in the modulation domain
Jørgensen, Søren
(PhD Student)
Dau, Torsten
(Main Supervisor)
Brunskog, Lars Jonas
(Examiner)
Cooke, Martin
(Examiner)
Culling, John
(Examiner)
Overview
Fingerprint
Research output
(1)
Project Details
Status
Finished
Effective start/end date
15/09/2010
→
19/02/2014
Funding
Technical University of Denmark
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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.
Power Ratio
Engineering
100%
Power Spectra
Engineering
100%
Spectrum Model
Engineering
100%
Background Noise
Computer Science
100%
Modulation Frequency
Computer Science
100%
Metrics
Engineering
75%
Reverberation
Engineering
50%
Computational Modeling
Computer Science
50%
Research output
Research output per year
2014
2014
2014
1
Ph.D. thesis
Research output per year
Research output per year
Modeling speech intelligibility based on the signal-to-noise envelope power ratio
Jørgensen, S.,
2014
,
Technical University of Denmark, Department of Electrical Engineering
.
194 p.
(Contributions to hearing research, Vol. 15).
Research output
:
Book/Report
›
Ph.D. thesis
Open Access
File
Spectrum Model
100%
Power Ratio
100%
Power Spectra
100%
Modulation Frequency
100%
Background Noise
100%
1741
Downloads (Pure)