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Proceedings 2019, 4(1), 55; https://doi.org/10.3390/ecsa-5-05756

Leveraging Urban Sounds: A Commodity Multi-Microphone Hardware Approach for Sound Recognition

GTM: Grup de recerca en Tecnologies Mèdia, La Salle, University Ramon Llull, Carrer Quatre Camins 30, 08022 Barcelona, Spain
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Author to whom correspondence should be addressed.
Current address: C/ Quatre Camins, 30, 08022 Barcelona, Spain
Presented at the 5th International Electronic Conference on Sensors and Applications, 15–30 November 2018; Available online: https://ecsa-5.sciforum.net.
Published: 8 March 2019
PDF [338 KB, uploaded 8 March 2019]

Abstract

City noise and sound are measured and processed with the purpose of drawing appropriate government legislation and regulations, ultimately aimed at contributing to a healthier environment for humans. The primary use of urban noise analysis is carried out with the main purpose of reporting or denouncing, to the appropriate authorities, a misconduct or correct a misuse of council resources. We believe that urban sounds carry more information than what it is extracted to date. In this paper we present a cloud-based urban sound analysis system for the capturing, processing and trading of urban sound-based information. By leveraging modern artificial intelligence algorithms running on a FOG computing city infrastructure, we will show how the presented solution can offer a valuable solution for exploiting urban sound information. A specific focus is given to the hardware implementation of the sound sensor and its multimicrophone architecture. We discuss how the presented architecture is designed to allow the trading of sound information between independent parties, transparently, using cloud-based sound processing APIs running on an inexpensive consumer-grade microphone.
Keywords: urban noise; sound identification; soundscape; acoustic sensor network; acoustic impact; multimicrophone; Amazon Echo urban noise; sound identification; soundscape; acoustic sensor network; acoustic impact; multimicrophone; Amazon Echo
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Tappero, F.; Alsina-Pagès, R.M.; Duboc, L.; Alías, F. Leveraging Urban Sounds: A Commodity Multi-Microphone Hardware Approach for Sound Recognition. Proceedings 2019, 4, 55.

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