This paper describes the synthesis of the room acoustics challenge as a part of the generative data augmentation workshop at ICASSP 2025. The challenge defines a unique generative task that is designed to improve the quantity and diversity of the room impulse responses dataset so that it can be used for spatially sensitive downstream tasks: speaker distance estimation. The challenge identifies the technical difficulty in measuring or simulating many rooms' acoustic characteristics precisely. As a solution, it proposes generative data augmentation as an alternative that can potentially be used to improve various downstream tasks. The challenge website, dataset, and evaluation code are available at https://sites.google.com/view/genda2025.

翻译：本文描述了作为ICASSP 2025生成式数据增强研讨会组成部分的房间声学合成挑战。该挑战定义了一项独特的生成任务，旨在提升房间脉冲响应数据集的数量与多样性，使其能够用于空间敏感的下游任务——说话人距离估计。挑战指出了精确测量或模拟多房间声学特性的技术难点，并提出将生成式数据增强作为替代方案，该方案有望用于改进各类下游任务。挑战网站、数据集及评估代码可通过 https://sites.google.com/view/genda2025 获取。