Gerardo Roa Dabike
Cadenza Challenge (ICASSP24): databases for ICASSP 2024 Cadenza Grand Challenge
Roa Dabike, Gerardo; Cox, Trevor
Authors
Prof Trevor Cox T.J.Cox@salford.ac.uk
Professor
Contributors
Jon Barker
Data Curator
Dr Bruno Fazenda B.M.Fazenda@salford.ac.uk
Data Curator
Michael Akeroyd
Data Curator
Scott Bannister
Data Curator
Jennifer Firth
Data Curator
Dr Simone Graetzer S.N.Graetzer@salford.ac.uk
Data Curator
Alinka Greasley
Data Curator
Dr Rebecca Vos Rebecca.Vos@salford.ac.uk
Data Curator
William Whitmer
Data Curator
Abstract
This is the training, validation and evaluation data for the ICASSP 2024 Cadenza Grand Challenge.
The Cadenza Challenges are improving music production and processing for people with a hearing loss. According to The World Health Organization, 430 million people worldwide have a disabling hearing loss. Studies show that not being able to understand lyrics is an important problem to tackle for those with hearing loss. Consequently, this task is about improving the intelligibility of lyrics when listening to pop/rock over headphones. But this needs to be done without losing too much audio quality - you can't improve intelligibility just by turning off the rest of the band! We will be using one metric for intelligibility and another metric for audio quality, and giving you different targets to explore the balance between these metrics.
Please see the Cadenza website for a full description of the data
Online Publication Date | Aug 9, 2024 |
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Publication Date | Aug 9, 2024 |
Deposit Date | Jul 30, 2025 |
DOI | https://doi.org/10.5281/zenodo.13285307 |
Collection Date | Aug 9, 2024 |
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