Building Health Monitoring Using Computational Auditory Scene Analysis

被引:1
作者
Kawamoto, Mitsuru [1 ]
Hamamoto, Takuji [2 ]
机构
[1] AIST, Human Augmentat Res Ctr, Tokyo, Japan
[2] Tokyo City Univ, Tokyo, Japan
来源
16TH ANNUAL INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING IN SENSOR SYSTEMS (DCOSS 2020) | 2020年
关键词
computational auditory scene analysis; building health monitoring; environmental sound; localization; sound feature map;
D O I
10.1109/DCOSS49796.2020.00033
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents a method to identify sound sources for structural monitoring, known as building health monitoring. This method allows to evaluate deterioration and damage of buildings by analyzing environmental sounds. The proposed method determines the location and features of sounds generated within a building, with its main characteristics being: (1) planar direction and height estimation; (2) visualization of sound features according to loudness, continuity, and pitch. The capabilities of the proposed building health monitoring method are verified using environmental sound data acquired at a building in Gunkanjima, which is a world heritage site from Japan.
引用
收藏
页码:144 / 146
页数:3
相关论文
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