BCNDataset: Description and Analysis of an Annotated Night Urban Leisure Sound Dataset

Ester Vidaña-Vila, Leticia Duboc, Rosa Ma Alsina-Pagès, Francesc Polls and Harold Vargas
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Ester Vidaña-Vila: GTM—Grup de Recerca en Tecnologies Mèdia, La Salle—Universitat Ramon Llull, c/Quatre Camins 30, 08022 Barcelona, Spain
Leticia Duboc: GTM—Grup de Recerca en Tecnologies Mèdia, La Salle—Universitat Ramon Llull, c/Quatre Camins 30, 08022 Barcelona, Spain
Rosa Ma Alsina-Pagès: GTM—Grup de Recerca en Tecnologies Mèdia, La Salle—Universitat Ramon Llull, c/Quatre Camins 30, 08022 Barcelona, Spain
Francesc Polls: GTM—Grup de Recerca en Tecnologies Mèdia, La Salle—Universitat Ramon Llull, c/Quatre Camins 30, 08022 Barcelona, Spain
Harold Vargas: GTM—Grup de Recerca en Tecnologies Mèdia, La Salle—Universitat Ramon Llull, c/Quatre Camins 30, 08022 Barcelona, Spain

Sustainability, 2020, vol. 12, issue 19, 1-20

Abstract: Acoustic pollution has been associated with adverse effects on the health and life expectancy of people, especially when noise exposure happens during the nighttime. With over half of the world population living in urban areas, acoustic pollution is an important concern for city administrators, especially those focused on transportation and leisure noise. Advances in sensor and network technologies made the deployment of Wireless Acoustic Sensor Networks (WASN) possible in cities, which, combined with artificial intelligence (AI), can enable smart services for their citizens. However, the creation of such services often requires structured environmental audio databases to train AI algorithms. This paper reports on an environmental audio dataset of 363 min and 53 s created in a lively area of the Barcelona city center, which targeted traffic and leisure events. This dataset, which is free and publicly available, can provide researchers with real-world acoustic data to help the development and testing of sound monitoring solutions for urban environments.

Keywords: road-traffic noise; leisure noise; Barcelona; acoustic dataset; urban sound; annoyance (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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