2nd Clarity Prediction Challenge (CPC2) dataset for hearing aid speech intelligibility prediction

This dataset was created for the second Clarity Prediction Challenge (CPC2), 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/cpc2/cpc2_intro How to cite: If this dataset is used in published work, please cite both this Zenodo record and the associated conference paper describing the dataset. The paper provides the main technical description of the data, including its collection protocol, structure, and intended research use. Barker, J., Akeroyd, M. A., Bailey, W., Cox, T. J., Culling, J. F., Firth, J., Graetzer, S., & Naylor, G. (2024). The 2nd Clarity Prediction Challenge: A Machine Learning Challenge for Hearing Aid Intelligibility Prediction. In ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, Korea, Republic of, pp. 11551–11555. IEEE. https://doi.org/10.1109/ICASSP48485.2024.10446441本数据集专为第二届清晰度预测挑战赛（Clarity Prediction Challenge, CPC2）构建，旨在研究嘈杂声学环境中助听器使用者的言语可懂度预测任务。该挑战赛现已收官，但本数据集仍对外开放以供持续研究使用，可用于开发并评估可在多种声学与助听器条件下估算言语可懂度的算法。 本次发布包含音频信号、听者元数据及辅助文档，上述资料可实现对过往挑战赛提交方案的可复现评估，同时也能为新研究方法提供基准测试支撑。 有关该挑战赛的更多信息（包括背景介绍、任务定义与基线系统），可通过以下链接获取：https://claritychallenge.org/docs/cpc2/cpc2_intro 引用须知：若本数据集用于已发表研究，请同时引用本Zenodo记录与描述该数据集的相关会议论文。该论文提供了本数据集的核心技术说明，包括数据采集协议、结构与预期研究用途。 Barker, J.、Akeroyd, M. A.、Bailey, W.、Cox, T. J.、Culling, J. F.、Firth, J.、Graetzer, S. 与 Naylor, G. (2024). 第二届清晰度预测挑战赛：面向助听器可懂度预测的机器学习挑战赛. 收录于2024年IEEE国际声学、语音与信号处理会议（ICASSP 2024），韩国首尔，第11551–11555页。IEEE. https://doi.org/10.1109/ICASSP48485.2024.10446441