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Indoor and outdoor environmental data: A dataset with acoustic data acquired by the microphone embedded on mobile devices

机译:室内和户外环境数据:数据集具有嵌入在移动设备上的麦克风获取的声学数据

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摘要

All mobile devices include a microphone that can be used for acoustic data acquisition. This article presents a dataset of acoustic signals related to nine environments, captured with a microphone embedded on off-the-shelf mobile devices. The mobile phone can be placed in the pants pockets, in a wristband, over the bedside table, on a table, or on other furniture. Data collection environments are bar, classroom, gym, kitchen, library, street, hall, living room, and bedroom. The data was collected by 25 individuals (15 men and 10 women) in different environments around Covilhã and Fundão municipalities (Portugal). The microphone data was sampled with 44,100 Hz into an array with 16-bit unsigned integer values in the range [0, 255] with a 128 offset for zero. The dataset presented in this paper presents at least 2000 samples of 5 s of data for each environment, corresponding to around 2.8 h for each environment into text files. In total, it includes at least 25.2 h of acoustic data for the implementation of data processing techniques, e.g., Fast Fourier Transform (FFT), and other machine learning methods for the different analysis.
机译:所有移动设备包括可用于声学数据采集的麦克风。本文介绍了与九个环境相关的声学信号数据集,用嵌入在现成移动设备上的麦克风捕获。手机可以放在裤子口袋里,在腕带上,在床头柜上,在桌子上或其他家具上。数据收集环境是酒吧,教室,健身房,厨房,图书馆,街道,大厅,客厅和卧室。这些数据在Covilhã和基金会(葡萄牙)周围的不同环境中由25名个人(15名男子和10名女性)收集。将麦克风数据用44,100Hz进行采样到阵列中,其中16位无符号整数值在范围内,其中128个偏移为零。本文呈现的数据集呈现为每个环境的至少2000个数据样本,每个环境对应于2.8小时内容为文本文件。总共包括至少25.2小时的声学数据,用于实现数据处理技术,例如快速傅里叶变换(FFT)和用于不同分析的其他机器学习方法。

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