Inter-floor noise classification using convolutional neural network

Hye-kyung Shin; Sang Hee Park; Kyoung-woo Kim

doi:10.1371/journal.pone.0243758

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Open Access

Peer-reviewed

Research Article

Inter-floor noise classification using convolutional neural network

Hye-kyung Shin,

Roles Conceptualization, Data curation, Formal analysis, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

Affiliation Department of Living and Built Environment Research, Korea Institute of Civil Engineering and Building Technology, Goyang-Si, Kyeonggi-Do, Korea
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Sang Hee Park,

Roles Data curation, Resources, Supervision, Writing – review & editing

Affiliation Department of Living and Built Environment Research, Korea Institute of Civil Engineering and Building Technology, Goyang-Si, Kyeonggi-Do, Korea
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Kyoung-woo Kim

Roles Funding acquisition, Supervision, Validation

* E-mail: kwmj@kict.re.kr

Affiliation Department of Living and Built Environment Research, Korea Institute of Civil Engineering and Building Technology, Goyang-Si, Kyeonggi-Do, Korea

https://orcid.org/0000-0002-3630-2890

⨯

Inter-floor noise classification using convolutional neural network

Hye-kyung Shin,
Sang Hee Park,
Kyoung-woo Kim

Published: December 22, 2020
https://doi.org/10.1371/journal.pone.0243758

About the Authors

Hye-kyung Shin

Roles Conceptualization, Data curation, Formal analysis, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

Affiliation Department of Living and Built Environment Research, Korea Institute of Civil Engineering and Building Technology, Goyang-Si, Kyeonggi-Do, Korea

Sang Hee Park

Roles Data curation, Resources, Supervision, Writing – review & editing

Affiliation Department of Living and Built Environment Research, Korea Institute of Civil Engineering and Building Technology, Goyang-Si, Kyeonggi-Do, Korea

Kyoung-woo Kim

Roles Funding acquisition, Supervision, Validation

* E-mail: kwmj@kict.re.kr

Affiliation Department of Living and Built Environment Research, Korea Institute of Civil Engineering and Building Technology, Goyang-Si, Kyeonggi-Do, Korea

https://orcid.org/0000-0002-3630-2890

Competing Interests

The authors have declared that no competing interests exist.

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Acoustics
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Ambient noise
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Neural networks
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Background signal noise
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Signal to noise ratio
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Convolution
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Preprocessing
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Rubber
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