Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Sustainable Soundscape Monitoring of Modified Psycho-Acoustic Annoyance Model With Edge Computing for 5G IoT Systems

Jaume Segura-Garcia
* ORCID logo ,
Juan Jose Perez-Solano
ORCID logo ,
Santiago Felici-Castell
ORCID logo ,
Jose Montoya-Belmonte
ORCID logo ,
Jesus Lopez-Ballester
ORCID logo ,
Juan Miguel Navarro
ORCID logo
Version 1 : Received: 21 April 2023 / Approved: 23 April 2023 / Online: 23 April 2023 (03:46:56 CEST)

A peer-reviewed article of this Preprint also exists.

Segura-Garcia, J.; Pérez-Solano, J.J.; Felici-Castell, S.; Montoya-Belmonte, J.; Lopez-Ballester, J.; Navarro, J.M. Sustainable Soundscape Monitoring of Modified Psycho-Acoustic Annoyance Model with Edge Computing for 5G IoT Systems. Sustainability 2023, 15, 10016. Segura-Garcia, J.; Pérez-Solano, J.J.; Felici-Castell, S.; Montoya-Belmonte, J.; Lopez-Ballester, J.; Navarro, J.M. Sustainable Soundscape Monitoring of Modified Psycho-Acoustic Annoyance Model with Edge Computing for 5G IoT Systems. Sustainability 2023, 15, 10016.

Abstract

Next Generation IoT systems will allow sustainable performance in long-term monitoring systems. This sustainability concept is applicable to soundscape description, as it allows monitoring in urban environments. In this work, the implementation of psycho-acoustic annoyance models in a 5G-enabled IoT system is proposed applying two Edge Computing approaches. A modified Zwicker’s model is adopted in this research, introducing a term that takes into account the tonal component of the captured sound. These implementations have been validated in a measurement campaign where several IoT devices have been deployed to evaluate different sound environments of a University Campus. Then, the analysis of the sound quality metrics is done in different location showing that if tonality is present in a noisy environment, it results in greater subjective annoyance. Moreover, the Just Noticeable Difference of these results are derived for the Zwicker’s psycho-acoustic annoyance to establish a limitation for this metric.

Keywords

5G-enabled IoT; Sound Quality Metrics; Psycho-acoustic Annoyance; JND

Subject

Engineering, Telecommunications

Copyright: 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.

Download PDF

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0
Get PDF Cite Share 0
Bookmark BibSonomy Mendeley Reddit Delicious
×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.