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The 2nd Clarity Prediction Challenge: A Machine Learning Challenge for Hearing Aid Intelligibility Prediction

Barker, Jon; Akeroyd, Michael A.; Bailey, Will; Cox, Trevor J.; Culling, John F.; Firth, Jennifer; Graetzer, Simone; Naylor, Graham

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Authors

Jon Barker

Michael A. Akeroyd

John F. Culling

Jennifer Firth

Graham Naylor



Abstract

This paper reports on the design and outcomes of the 2nd Clarity Prediction Challenge (CPC2) for predicting the intelligibility of hearing aid processed signals heard by individuals with a hearing impairment. The challenge was designed to promote new approaches for estimating the intelligibility of hearing aid signals that can be used in future hearing aid algorithm development. It extends an earlier round (CPC1, 2022) in a number of critical directions, including a larger dataset coming from new speech intelligibility listening experiments, a greater degree of variability in the test materials, and a design that requires prediction systems to generalise to unseen algorithms and listeners. This paper provides a full description of the new publicly available CPC2 dataset, the CPC2 challenge design, and the baseline systems. The challenge attracted 12 systems from 9 research teams. The systems are reviewed, their performance is analysed and conclusions are presented, with reference to the progress made since the earlier CPC1 challenge. In particular, it is seen how reference-free, non-intrusive systems based on pre-trained large acoustic models can perform well in this context.

Citation

Barker, J., Akeroyd, M. A., Bailey, W., Cox, T. J., Culling, J. F., Firth, J., …Naylor, G. (2024). The 2nd Clarity Prediction Challenge: A Machine Learning Challenge for Hearing Aid Intelligibility Prediction. . https://doi.org/10.1109/icassp48485.2024.10446441

Conference Name 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Conference Location Seoul, Korea
Start Date Apr 14, 2024
End Date Apr 19, 2024
Acceptance Date Dec 13, 2023
Publication Date Apr 14, 2024
Deposit Date Apr 30, 2024
Publicly Available Date Apr 30, 2024
Publisher Institute of Electrical and Electronics Engineers
DOI https://doi.org/10.1109/icassp48485.2024.10446441

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