Published August 9, 2024 | Version 1.0.0
Dataset Open

Cadenza Challenge (CAD1): databases for the First Cadenza Challenge - Task1

  • 1. ROR icon University of Salford
  • 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 First Cadenza Challenge - Task 1.

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 (30.4 GB)

Name Size Download all
md5:946fde5149e74bd8c4dea3fbd837ef11
7.3 kB Download
md5:deb69aba7be1b0aa8dae3de51d923572
22.7 GB Download
md5:ea807135003b97ccf24dee4268528088
7.8 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
Programming language
Python