Dr Gerardo Roa Dabike G.RoaDabike@salford.ac.uk
Postdoctoral Research Fellow (MAT COVER)
The First Cadenza Signal Processing Challenge: Improving Music for Those With a Hearing Loss
Dabike, Gerardo Roa; Bannister, Scott; Firth, Jennifer; Graetzer, Simone; Vos, Rebecca; Akeroyd, Michael A; Barker, Jon; Cox, Trevor J; Fazenda, Bruno; Greasley, Alinka; Whitmer, William
Authors
Scott Bannister
Jennifer Firth
Dr Simone Graetzer S.N.Graetzer@salford.ac.uk
Research Fellow
Dr Rebecca Vos Rebecca.Vos@salford.ac.uk
University Fellow
Michael A Akeroyd
Jon Barker
Prof Trevor Cox T.J.Cox@salford.ac.uk
Professor
Dr Bruno Fazenda B.M.Fazenda@salford.ac.uk
Reader
Alinka Greasley
William Whitmer
Abstract
The Cadenza project aims to improve the audio quality of music for those who have a hearing loss. This is being done through a series of signal processing challenges, to foster better and more inclusive technologies. In the first round, two common listening scenarios are considered: listening to music over headphones, and with a hearing aid in a car. The first scenario is cast as a demixing-remixing problem, where the music is decomposed into vocals, bass, drums and other components. These can then be intelligently remixed in a personalized way, to increase the audio quality for a person who has a hearing loss. In the second scenario, music is coming from car loudspeakers, and the music has to be enhanced to overcome the masking effect of the car noise. This is done by taking into account the music, the hearing ability of the listener, the hearing aid and the speed of the car. The audio quality of the submissions will be evaluated using the Hearing Aid Audio Quality Index (HAAQI) for objective assessment and by a panel of people with hearing loss for subjective evaluation.
Citation
Dabike, G. R., Bannister, S., Firth, J., Graetzer, S., Vos, R., Akeroyd, M. A., …Whitmer, W. (2023). The First Cadenza Signal Processing Challenge: Improving Music for Those With a Hearing Loss.
| Conference Name | HCMIR23: 2nd Workshop on Human-Centric Music Information Research |
|---|---|
| Conference Location | Milan, Italy |
| Start Date | Nov 10, 2023 |
| End Date | Nov 10, 2023 |
| Acceptance Date | Nov 10, 2023 |
| Online Publication Date | Nov 10, 2023 |
| Publication Date | Nov 10, 2023 |
| Deposit Date | Feb 15, 2024 |
| Publicly Available Date | Feb 19, 2024 |
| Keywords | hearing loss; hearing aids; inclusive music; music quality; machine learning; signal processing; challenge |
Files
Published Version
(593 Kb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
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