Silent·Cities

Political responses to the COVID-19 pandemic led to changes in cities' soundscapes around the globe. From March to October 2020, a consortium of 260 contributors from 35 countries built a unique soundscape recordings collection to report on local acoustic changes in urban areas. We present this collection here, along with metadata including observational descriptions of the local areas from the contributors, open-source environmental data, open-source confinement levels and calculation of acoustic descriptors. We performed a technical validation of the dataset using statistical models run on a subset of manually annotated soundscapes. We confirmed the large-scale usability of ecoacoustic indices and automatic sound event recognition on the Silent Cities project dataset. We expect the Silent Cities dataset to be useful for research in the multidisciplinary field of environmental sciences.全球范围内城市声景在应对COVID-19大流行期间的政治反应中发生了变化。自2020年3月至10月，由来自35个国家的260位贡献者组成的联盟构建了一个独特的声景录音集合，以报告城市区域的局部声学变化。在此，我们展示了该集合，并附带包含贡献者对当地区域观察描述、开源环境数据、开源隔离等级以及声学描述符计算等元数据。我们使用统计模型对手动标注的声景子集进行了技术验证。我们确认了生态声学指数和自动声音事件识别在静默城市项目数据集中的大规模实用性。我们期望静默城市数据集对环境科学这一多学科领域的研究具有实用性。

搜集汇总

背景与挑战

背景概述

Silent·Cities是一个记录COVID-19疫情期间全球城市声景变化的独特数据集，包含2020年3月至10月期间由35个国家260名贡献者收集的声景录音及相关元数据，适用于环境科学多学科研究。数据集经过技术验证，证实了生态声学指数和自动声音事件识别在大规模应用中的可行性。