IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i11p5779-d559159.html
   My bibliography  Save this article

Multilevel Annoyance Modelling of Short Environmental Sound Recordings

Author

Listed:
  • Ferran Orga

    (Grup de recerca en Tecnologies Mèdia, La Salle—URL, Quatre Camins, 30, 08022 Barcelona, Spain
    These authors contributed equally to this work and share the first author position.)

  • Andrew Mitchell

    (Institute for Environmental Design and Engineering, The Bartlett, University College London (UCL), Central House, 14 Upper Woburn Place, London WC1H 0NN, UK
    These authors contributed equally to this work and share the first author position.)

  • Marc Freixes

    (Grup de recerca en Tecnologies Mèdia, La Salle—URL, Quatre Camins, 30, 08022 Barcelona, Spain)

  • Francesco Aletta

    (Institute for Environmental Design and Engineering, The Bartlett, University College London (UCL), Central House, 14 Upper Woburn Place, London WC1H 0NN, UK)

  • Rosa Ma Alsina-Pagès

    (Grup de recerca en Tecnologies Mèdia, La Salle—URL, Quatre Camins, 30, 08022 Barcelona, Spain)

  • Maria Foraster

    (ISGlobal, Parc de Recerca Biomèdica de Barcelona (PRBB), Doctor Aiguader, 88, 08003 Barcelona, Spain
    Universitat Pompeu Fabra (UPF), 08018 Barcelona, Spain
    CIBER Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain
    PHAGEX Research Group, Blanquerna School of Health Science, Universitat Ramon Llull, 08025 Barcelona, Spain)

Abstract

The recent development and deployment of Wireless Acoustic Sensor Networks (WASN) present new ways to address urban acoustic challenges in a smart city context. A focus on improving quality of life forms the core of smart-city design paradigms and cannot be limited to simply measuring objective environmental factors, but should also consider the perceptual, psychological and health impacts on citizens. This study therefore makes use of short (1–2.7 s) recordings sourced from a WASN in Milan which were grouped into various environmental sound source types and given an annoyance rating via an online survey with N = 100 participants. A multilevel psychoacoustic model was found to achieve an overall R 2 = 0.64 which incorporates Sharpness as a fixed effect regardless of the sound source type and Roughness, Impulsiveness and Tonality as random effects whose coefficients vary depending on the sound source. These results present a promising step toward implementing an on-sensor annoyance model which incorporates psychoacoustic features and sound source type, and is ultimately not dependent on sound level.

Suggested Citation

  • Ferran Orga & Andrew Mitchell & Marc Freixes & Francesco Aletta & Rosa Ma Alsina-Pagès & Maria Foraster, 2021. "Multilevel Annoyance Modelling of Short Environmental Sound Recordings," Sustainability, MDPI, vol. 13(11), pages 1-13, May.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:11:p:5779-:d:559159
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/11/5779/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/11/5779/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Edward Frees & Jee-Seon Kim, 2006. "Multilevel Model Prediction," Psychometrika, Springer;The Psychometric Society, vol. 71(1), pages 79-104, March.
    2. G. N. Wilkinson & C. E. Rogers, 1973. "Symbolic Description of Factorial Models for Analysis of Variance," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 22(3), pages 392-399, November.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Andrew Mitchell & Mercede Erfanian & Christopher Soelistyo & Tin Oberman & Jian Kang & Robert Aldridge & Jing-Hao Xue & Francesco Aletta, 2022. "Effects of Soundscape Complexity on Urban Noise Annoyance Ratings: A Large-Scale Online Listening Experiment," IJERPH, MDPI, vol. 19(22), pages 1-16, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Payne, Roger W., 1998. "Design keys, pseudo-factors and general balance," Computational Statistics & Data Analysis, Elsevier, vol. 29(2), pages 217-229, December.
    2. Bent Nielsen, 2014. "Deviance analysis of age-period-cohort models," Economics Papers 2014-W03, Economics Group, Nuffield College, University of Oxford.
    3. Quirin Gehmacher & Juliane Schubert & Fabian Schmidt & Thomas Hartmann & Patrick Reisinger & Sebastian Rösch & Konrad Schwarz & Tzvetan Popov & Maria Chait & Nathan Weisz, 2024. "Eye movements track prioritized auditory features in selective attention to natural speech," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    4. Riehl, Kevin & Kiesel, Florian & Schiereck, Dirk, 2022. "Political and Socioeconomic Factors That Determine the Financial Outcome of Successful Green Innovation," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 132099, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    5. repec:jss:jstsof:23:i07 is not listed on IDEAS
    6. Wei Pan & Xianbin Wang & Wenwei Zhou & Bowen Hang & Liwen Guo, 2023. "Linguistic Analysis for Identifying Depression and Subsequent Suicidal Ideation on Weibo: Machine Learning Approaches," IJERPH, MDPI, vol. 20(3), pages 1-12, February.
    7. Jee-Seon Kim & Edward Frees, 2006. "Omitted Variables in Multilevel Models," Psychometrika, Springer;The Psychometric Society, vol. 71(4), pages 659-690, December.
    8. Jeong, Himchan & Valdez, Emiliano A., 2020. "Predictive compound risk models with dependence," Insurance: Mathematics and Economics, Elsevier, vol. 94(C), pages 182-195.
    9. Anders Skrondal & Sophia Rabe‐Hesketh, 2009. "Prediction in multilevel generalized linear models," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 172(3), pages 659-687, June.
    10. Christian Kleiber & Achim Zeileis, 2005. "Validating multiple structural change models-a case study," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(5), pages 685-690.
    11. repec:jss:jstsof:34:i01 is not listed on IDEAS
    12. repec:jss:jstsof:14:i09 is not listed on IDEAS
    13. Zeileis, Achim & Kleiber, Christian & Kramer, Walter & Hornik, Kurt, 2003. "Testing and dating of structural changes in practice," Computational Statistics & Data Analysis, Elsevier, vol. 44(1-2), pages 109-123, October.
    14. Emil Exenberger & Michaela Kav?áková, 2020. "Evaluation of financial health of companies through data envelopment analysis: Selection of variables for the DEA model in R," Proceedings of Economics and Finance Conferences 10913067, International Institute of Social and Economic Sciences.
    15. Großmann, Heiko, 2014. "Automating the analysis of variance of orthogonal designs," Computational Statistics & Data Analysis, Elsevier, vol. 70(C), pages 1-18.
    16. Emi Tanaka, 2020. "Simple outlier detection for a multi‐environmental field trial," Biometrics, The International Biometric Society, vol. 76(4), pages 1374-1382, December.
    17. Rotem Botvinik-Nezer & Bogdan Petre & Marta Ceko & Martin A. Lindquist & Naomi P. Friedman & Tor D. Wager, 2024. "Placebo treatment affects brain systems related to affective and cognitive processes, but not nociceptive pain," Nature Communications, Nature, vol. 15(1), pages 1-20, December.
    18. Kevser Cetin & Wolfram Mauser, 2023. "The Role of Recent Climate Change in Explaining the Statistical Yield Increase of Maize in Northern Bavaria—A Model Study," Agriculture, MDPI, vol. 13(7), pages 1-19, July.
    19. repec:jss:jstsof:17:i04 is not listed on IDEAS
    20. Jesper Ryden & Sven Erick Alm, 2010. "The effect of interaction and rounding error in two-way ANOVA: example of impact on testing for normality," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(10), pages 1695-1701.
    21. Nitzan Shahar & Tobias U Hauser & Michael Moutoussis & Rani Moran & Mehdi Keramati & NSPN consortium & Raymond J Dolan, 2019. "Improving the reliability of model-based decision-making estimates in the two-stage decision task with reaction-times and drift-diffusion modeling," PLOS Computational Biology, Public Library of Science, vol. 15(2), pages 1-25, February.
    22. Zardetto Diego, 2015. "ReGenesees: an Advanced R System for Calibration, Estimation and Sampling Error Assessment in Complex Sample Surveys," Journal of Official Statistics, Sciendo, vol. 31(2), pages 177-203, June.
    23. Jamie Cummins & Jan De Houwer, 2019. "An inkblot for beliefs: The Truth Misattribution Procedure," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-21, June.
    24. Kevin Riehl & Florian Kiesel & Dirk Schiereck, 2022. "Political and Socioeconomic Factors That Determine the Financial Outcome of Successful Green Innovation," Sustainability, MDPI, vol. 14(6), pages 1-23, March.

    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:13:y:2021:i:11:p:5779-:d:559159. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.