3rd Clarity Prediction Challenge (CPC3) dataset for hearing aid speech intelligibility prediction
Authors/Creators
Contributors
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)
Additional details
Funding
Software
- Repository URL
- https://github.com/claritychallenge/clarity
- Programming language
- Python
- Development Status
- Active