Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed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

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