Published September 2, 2025 | Version v1
Dataset Open

3rd Clarity Prediction Challenge (CPC3) dataset for hearing aid speech intelligibility prediction

Authors/Creators

  • 1. University of Nottingham
  • 2. University of Salford
  • 3. ROR icon Cardiff University
  • 4. University of Nottingham School of Medicine

Description

This dataset was created for the third Clarity Prediction Challenge (CPC3), which investigated the prediction of speech intelligibility for hearing-aid users in noisy acoustic environments. The challenge is now complete, but the dataset is made available for ongoing research. It can be used to develop and evaluate algorithms that estimate speech intelligibility across a range of acoustic and hearing-aid conditions.

The release includes audio signals, listener metadata, and supporting documentation. These materials enable reproducible evaluation of past challenge submissions as well as benchmarking of new approaches.

Further information about the challenge, including background, task definitions, and baseline systems, is available at: https://claritychallenge.org/docs/cpc3/cpc3_intro

Files

Files (14.4 GB)

Name Size Download all
md5:9f40bc860884791ded0a8f06edcf607f
752.2 MB Download
md5:81f5f68044bd5e54472898063638e6a1
6.1 GB Download
md5:44d8d85187fa49dcc20c75fe3e53f137
515.9 kB Download
md5:b45cd54d161d47b024fa94cbd675e95c
7.5 GB Download
md5:bde44a8f48bedbe5597f5d5f2987c03d
20.2 MB Download

Additional details

Funding

UK Research and Innovation
Challenges to Revolutionise Hearing Device Processing EP/S031448/1

Software

Repository URL
https://github.com/claritychallenge/clarity
Programming language
Python
Development Status
Active