Cadenza Project
Published August 9, 2024 | Version 1.0.0
Dataset Open

Cadenza Challenge (ICASSP24): databases for ICASSP 2024 Cadenza Grand Challenge

Creators

  • 1. ROR icon University of Salford

Contributors

  • 1. ROR icon University of Sheffield
  • 2. ROR icon University of Salford
  • 3. ROR icon University of Nottingham
  • 4. ROR icon 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
md5:578b7757f1a37d174a9eb192d68f815b
236.8 kB Download
md5:22250a23fb17ab326dbfde58b85803e8
6.3 GB Download
md5:e2edd1dc8dadf4d4c0f97c87ccf80bfa
14.8 GB Download
md5:60f41764ff7fd4f7f343c59d79fab91c
6.3 GB Download

Additional details

Funding

EnhanceMusic: Machine Learning Challenges to Revolutionise Music Listening for People with Hearing Loss EP/W019434/1
UK Research and Innovation

Software

Repository URL
https://github.com/claritychallenge/clarity