Cadenza Challenge (ICASSP24): databases for ICASSP 2024 Cadenza Grand Challenge
Contributors
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1.
University of Sheffield
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2.
University of Salford
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3.
University of Nottingham
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4.
University of Leeds
Description
Cadenza
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
Files
Files
(27.4 GB)
| Name | Size | Download all |
|---|---|---|
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md5:578b7757f1a37d174a9eb192d68f815b
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236.8 kB | Download |
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md5:22250a23fb17ab326dbfde58b85803e8
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6.3 GB | Download |
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md5:e2edd1dc8dadf4d4c0f97c87ccf80bfa
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14.8 GB | Download |
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md5:60f41764ff7fd4f7f343c59d79fab91c
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6.3 GB | Download |
Additional details
Funding
- UK Research and Innovation
- EnhanceMusic: Machine Learning Challenges to Revolutionise Music Listening for People with Hearing Loss EP/W019434/1
Software
- Repository URL
- https://github.com/claritychallenge/clarity