从众包音频数据中探索新兴声景特征

IF 7.1 1区 地球科学 Q1 ENVIRONMENTAL STUDIES Computers Environment and Urban Systems Pub Date : 2024-04-08 DOI:10.1016/j.compenvurbsys.2024.102112
Aura Kaarivuo , Jonas Oppenländer , Tommi Kärkkäinen , Tommi Mikkonen
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引用次数: 0

摘要

设计可持续、丰富和包容性城市的关键要素是公众参与。声景是城市沉浸式环境不可或缺的一部分,应将其视为创造城市环境声学形象的资源。对于城市规划专业人员来说,这就需要了解市民的声音景观体验的构成要素。本研究的目标是提出一种利用无监督机器学习方法分析人群声景数据的系统方法。本研究采用了一种参与门槛较低的众包声景体验数据收集方法。为此,我们在芬兰赫尔辛基收集了 111 名参与者的定性和原始音频数据,然后对其进行聚类和进一步分析。我们的结论是,将机器学习分析与便捷的移动人群感应方法结合起来,可以得出用于追踪城市声景中隐藏的体验现象的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Exploring emergent soundscape profiles from crowdsourced audio data

The key component of designing sustainable, enriching, and inclusive cities is public participation. The soundscape is an integral part of an immersive environment in cities, and it should be considered as a resource that creates the acoustic image for an urban environment. For urban planning professionals, this requires an understanding of the constituents of citizens' emergent soundscape experience. The goal of this study is to present a systematic method for analyzing crowdsensed soundscape data with unsupervised machine learning methods. This study applies a crowdsensed sound- scape experience data collection method with low threshold for participation. The aim is to analyze the data using unsupervised machine learning methods to give insights into soundscape perception and quality.

For this purpose, qualitative and raw audio data were collected from 111 participants in Helsinki, Finland, and then clustered and further analyzed. We conclude that a machine learning analysis combined with accessible, mobile crowdsensing methods enable results that can be applied to track hidden experiential phenomena in the urban soundscape.

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来源期刊
CiteScore
13.30
自引率
7.40%
发文量
111
审稿时长
32 days
期刊介绍: Computers, Environment and Urban Systemsis an interdisciplinary journal publishing cutting-edge and innovative computer-based research on environmental and urban systems, that privileges the geospatial perspective. The journal welcomes original high quality scholarship of a theoretical, applied or technological nature, and provides a stimulating presentation of perspectives, research developments, overviews of important new technologies and uses of major computational, information-based, and visualization innovations. Applied and theoretical contributions demonstrate the scope of computer-based analysis fostering a better understanding of environmental and urban systems, their spatial scope and their dynamics.
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