IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i19p8140-d422972.html
   My bibliography  Save this article

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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Ester Vidaña-Vila & Leticia Duboc & Rosa Ma Alsina-Pagès & Francesc Polls & Harold Vargas, 2020. "BCNDataset: Description and Analysis of an Annotated Night Urban Leisure Sound Dataset," Sustainability, MDPI, vol. 12(19), pages 1-20, October.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:19:p:8140-:d:422972
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/19/8140/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/19/8140/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dorota Kamrowska-Załuska, 2021. "Impact of AI-Based Tools and Urban Big Data Analytics on the Design and Planning of Cities," Land, MDPI, vol. 10(11), pages 1-19, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:12:y:2020:i:19:p:8140-:d:422972. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.