Environmental Sound Classification for Flood Event Detection

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dc.contributor.authorBasnyat, Bipendra
dc.contributor.authorRoy, Nirmalya
dc.contributor.authorGangopadhyay, Aryya
dc.contributor.authorRaglin, Adrienne
dc.date.accessioned2022-08-02T21:11:37Z
dc.date.available2022-08-02T21:11:37Z
dc.date.issued2022-07-15
dc.description18th International Conference on Intelligent Environments (IE), Biarritz, Franceen_US
dc.description.abstractFlood is one of the common natural disasters that can severely affect human life and properties. Early detection, therefore, is of paramount importance to provide help through an emergency response team. Robust flood detection techniques so far have been based on computer vision using images either from cameras, satellite imagery, remote sensing, or radar-based images. However, sound signal-based flood event detection has not been widely explored. In this work, we design an end-to-end architecture for a deep learning-based flood-related sound event detection model. We employ Mel-Spectrogram-based auditory signal analysis and deep learning models for sound event detection (SED). We evaluated four deep learning models under the following two categories: (i) Binary classification Flood/No Flood, vs. Windy vs. Non-Windy, and (ii) Multi-classification for more granular flood and wind events. The experimental results performed in these settings on the datasets collected from real deployment showed an accuracy of around 78%.en_US
dc.description.sponsorshipThis work is partially supported by the U.S. Army grant No. W911NF2120076.en_US
dc.description.urihttps://ieeexplore.ieee.org/abstract/document/9826766en_US
dc.format.extent8 pagesen_US
dc.genreconference papers and proceedingsen_US
dc.identifierdoi:10.13016/m2htzn-tglh
dc.identifier.citationB. Basnyat, N. Roy, A. Gangopadhyay and A. Raglin, "Environmental Sound Classification for Flood Event Detection," 2022 18th International Conference on Intelligent Environments (IE), 2022, pp. 1-8, doi: 10.1109/IE54923.2022.9826766.en_US
dc.identifier.urihttps://doi.org/10.1109/IE54923.2022.9826766
dc.identifier.urihttp://hdl.handle.net/11603/25275
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Information Systems Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Student Collection
dc.rightsThis work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.en_US
dc.rightsPublic Domain Mark 1.0*
dc.rights.urihttp://creativecommons.org/publicdomain/mark/1.0/*
dc.titleEnvironmental Sound Classification for Flood Event Detectionen_US
dc.typeTexten_US

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