Dabike, G.R., Akeroyd, M.A., Bannister, S. et al. (8 more authors) (2024) The ICASSP SP Cadenza challenge: music demixing/remixing for hearing aids. In: 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW). 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW), 14-19 Apr 2024, Seoul, South Korea. Institute of Electrical and Electronics Engineers, pp. 93-94. ISBN: 979-8-3503-7452-0.
Abstract
This paper reports on the design and results of the 2024 ICASSP SP Cadenza Challenge: Music Demixing/Remixing for Hearing Aids. The Cadenza project is working to enhance the audio quality of music for those with a hearing loss. The scenario for the challenge was listening to stereo reproduction over loudspeakers via hearing aids. The task was to: decompose pop/rock music into vocal, drums, bass and other (VDBO); rebalance the different tracks with specified gains and then remixing back to stereo. End-to-end approaches were also accepted. 17 systems were submitted by 11 teams. Causal systems performed poorer than non-causal approaches. 9 systems beat the baseline. A common approach was to fine-tuning pretrained demixing models. The best approach used an ensemble of models.
Metadata
| Item Type: | Proceedings Paper |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © 2024 The Authors. Except as otherwise noted, this author-accepted version of a proceedings paper published in 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW) is made available via the University of Sheffield Research Publications and Copyright Policy under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ |
| Keywords: | Loudspeakers; Conferences; Auditory system; Signal processing; Hearing aids; Acoustics; Multiple signal classification |
| Dates: |
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| Institution: | The University of Sheffield |
| Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
| Funding Information: | Funder Grant number Engineering and Physical Sciences Research Council EP/W019434/1 |
| Date Deposited: | 06 Feb 2026 11:24 |
| Last Modified: | 06 Feb 2026 13:55 |
| Status: | Published |
| Publisher: | Institute of Electrical and Electronics Engineers |
| Refereed: | Yes |
| Identification Number: | 10.1109/icasspw62465.2024.10626340 |
| Related URLs: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:237445 |
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Filename: cadenza_ICASSP_2024_Challenge_Submission.pdf
Licence: CC-BY 4.0

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