Urban Sound Event Detection and Classification

João Alves, Pedro Guerreiro, Gonçalo Marques, Joel Paulo


The ability to automatically detect/classify complex and dynamic urban sounds is important tool for urban planning such as building efficient noise monitoring and control, surveillance systems, urban soundscape mappings, and could be a foundation for improvement of life in the cities of tomorrow.

We present a proof of concept for a sound detection, monitoring and classification system for urban environments in the context of Smart Cities. Ultimately, the proposed system be deployed in numerous urban locations for long periods of time, allowing for the collection of urban acoustic data.

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DOI: http://dx.doi.org/10.34629/ipl.isel.i-ETC.61


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