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

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Zenodo2026-05-01 更新2026-05-26 收录
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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)打造,该赛事旨在探究嘈杂声学环境下助听器使用者的言语可懂度预测问题。目前该挑战赛已圆满落幕,但本数据集仍对外开放,以供后续研究使用。本数据集可用于开发与评估可在多种声学场景及助听器配置条件下估算言语可懂度的算法。 本次发布的资源包含音频信号、受试者元数据以及辅助文档。这些资料可实现对过往挑战赛提交方案的可复现性评估,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、任务定义以及基准系统详情,可通过以下链接获取:https://claritychallenge.org/docs/cpc2/cpc2_intro 引用说明:若本数据集用于已发表的研究成果,请同时引用本Zenodo记录与描述该数据集的相关会议论文。该论文涵盖了本数据集的核心技术说明,包括其采集流程、结构设计与预期研究用途。 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:面向助听器言语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(International Conference on Acoustics, Speech and Signal Processing, ICASSP),韩国首尔,第11551–11555页。IEEE出版社。https://doi.org/10.1109/ICASSP48485.2024.10446441

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2025-09-03
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