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The following challenge data are available for download:

  • The challenge training data is available for download as a single 13 GB file, clarity_CPC1_data.v1_1.tgz
  • The evaluation data in now available (1st March) for download as a single 6 GB file, clarity_CPC1_data.test.v1.tgz. The evaluation data should be untarred into the same root as the training data.

The Github repository containing the baseline code is here. The repository contains code for CPC1 and also for the earlier enhancement challenge CEC1. You will find all the necessary instructions for installing the data and setting up the baseline system: i.e. running the MSBG hearing loss model and MBSTOI intelligibility prediction stage. We will be making a further small release in early December to specify the final evaluation metrics that we will be using to rank entries.


The Challenge is now closed but the data is still available for anyone to use. If using the data please cite the following paper

Jon Barker and Michael Akeroyd and Trevor J. Cox and John F. Culling and Jennifer Firth and Simone Graetzer and Holly Griffiths and Lara Harris and Graham Naylor and Zuzanna Podwinska and Eszter Porter and Rhoddy Viveros Munoz, “The 1st Clarity Prediction Challenge: A machine learning challenge for hearing aid intelligibility prediction,” in Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2022, Incheon, South Korea, 2022.