Soundscape monitoring of modified psychoacoustic annoyance with Next-Generation EDGE computing and IoT

Jaume Segura-García; Jesus Lopez-Ballester; Santiago Felici-Castell; Juan J. Perez-Solano; Jose M. Alcaraz-Calero; Rafael Fayos-Jordan; Enrique A. Navarro-Camba; Antonio Soriano-Asensi; Juan M. Navarro-Ruiz

doi:10.1145/3544538.3544666

Soundscape monitoring of modified psychoacoustic annoyance with Next-Generation EDGE computing and IoT

Jaume Segura-García, Jesus Lopez-Ballester, Santiago Felici-Castell, Juan J. Perez-Solano, Jose M. Alcaraz-Calero, Rafael Fayos-Jordan, Enrique A. Navarro-Camba, Antonio Soriano-Asensi, Juan M. Navarro-Ruiz

Research output: Chapter in Book/Published conference output › Conference publication

Abstract

The environmental psycho-acoustic annoyance is an important metric in the Smart City with Next Generation technologies. The use of such technologies can help to rapidly deploy large quantity of elements, which can dynamically be used for different applications. Also, the psycho-acoustic annoyance is usually based on the Zwicker's model, but this model does not consider tonality of sounds to weight the subjective nuisance produced. In this work, we show a on-going work for the implementation of the nodes and EDGE/Fog to determine a modified version of the Zwicker's model, to consider sound tonality (based on Aures' method). This implementation has been designed to consider two options for offloading, one with sampling and computation on the EDGE and another with sampling in 5G-nodes and computation on the EDGE.

Original language	English
Title of host publication	EATIS '22: Proceedings of the 11th Euro American Conference on Telematics and Information Systems
Place of Publication	United States
Publisher	ACM
Number of pages	4
ISBN (Electronic)	9781450397384
DOIs	https://doi.org/10.1145/3544538.3544666
Publication status	Published - 9 Aug 2022

Keywords

EDGE
IoT
Matlab
psycho-acoustics
tonality

Access to Document

10.1145/3544538.3544666

Cite this

Segura-García, J., Lopez-Ballester, J., Felici-Castell, S., Perez-Solano, J. J., Alcaraz-Calero, J. M., Fayos-Jordan, R., Navarro-Camba, E. A., Soriano-Asensi, A., & Navarro-Ruiz, J. M. (2022). Soundscape monitoring of modified psychoacoustic annoyance with Next-Generation EDGE computing and IoT. In EATIS '22: Proceedings of the 11th Euro American Conference on Telematics and Information Systems Article 18 ACM. https://doi.org/10.1145/3544538.3544666

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title = "Soundscape monitoring of modified psychoacoustic annoyance with Next-Generation EDGE computing and IoT",

abstract = "The environmental psycho-acoustic annoyance is an important metric in the Smart City with Next Generation technologies. The use of such technologies can help to rapidly deploy large quantity of elements, which can dynamically be used for different applications. Also, the psycho-acoustic annoyance is usually based on the Zwicker's model, but this model does not consider tonality of sounds to weight the subjective nuisance produced. In this work, we show a on-going work for the implementation of the nodes and EDGE/Fog to determine a modified version of the Zwicker's model, to consider sound tonality (based on Aures' method). This implementation has been designed to consider two options for offloading, one with sampling and computation on the EDGE and another with sampling in 5G-nodes and computation on the EDGE.",

keywords = "EDGE, IoT, Matlab, psycho-acoustics, tonality",

author = "Jaume Segura-Garc{\'i}a and Jesus Lopez-Ballester and Santiago Felici-Castell and Perez-Solano, {Juan J.} and Alcaraz-Calero, {Jose M.} and Rafael Fayos-Jordan and Navarro-Camba, {Enrique A.} and Antonio Soriano-Asensi and Navarro-Ruiz, {Juan M.}",

year = "2022",

month = aug,

day = "9",

doi = "10.1145/3544538.3544666",

language = "English",

booktitle = "EATIS '22: Proceedings of the 11th Euro American Conference on Telematics and Information Systems",

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Segura-García, J, Lopez-Ballester, J, Felici-Castell, S, Perez-Solano, JJ, Alcaraz-Calero, JM, Fayos-Jordan, R, Navarro-Camba, EA, Soriano-Asensi, A & Navarro-Ruiz, JM 2022, Soundscape monitoring of modified psychoacoustic annoyance with Next-Generation EDGE computing and IoT. in EATIS '22: Proceedings of the 11th Euro American Conference on Telematics and Information Systems., 18, ACM, United States. https://doi.org/10.1145/3544538.3544666

Soundscape monitoring of modified psychoacoustic annoyance with Next-Generation EDGE computing and IoT. / Segura-García, Jaume; Lopez-Ballester, Jesus; Felici-Castell, Santiago et al.
EATIS '22: Proceedings of the 11th Euro American Conference on Telematics and Information Systems. United States: ACM, 2022. 18.

Research output: Chapter in Book/Published conference output › Conference publication

TY - GEN

T1 - Soundscape monitoring of modified psychoacoustic annoyance with Next-Generation EDGE computing and IoT

AU - Segura-García, Jaume

AU - Lopez-Ballester, Jesus

AU - Felici-Castell, Santiago

AU - Perez-Solano, Juan J.

AU - Alcaraz-Calero, Jose M.

AU - Fayos-Jordan, Rafael

AU - Navarro-Camba, Enrique A.

AU - Soriano-Asensi, Antonio

AU - Navarro-Ruiz, Juan M.

PY - 2022/8/9

Y1 - 2022/8/9

N2 - The environmental psycho-acoustic annoyance is an important metric in the Smart City with Next Generation technologies. The use of such technologies can help to rapidly deploy large quantity of elements, which can dynamically be used for different applications. Also, the psycho-acoustic annoyance is usually based on the Zwicker's model, but this model does not consider tonality of sounds to weight the subjective nuisance produced. In this work, we show a on-going work for the implementation of the nodes and EDGE/Fog to determine a modified version of the Zwicker's model, to consider sound tonality (based on Aures' method). This implementation has been designed to consider two options for offloading, one with sampling and computation on the EDGE and another with sampling in 5G-nodes and computation on the EDGE.

AB - The environmental psycho-acoustic annoyance is an important metric in the Smart City with Next Generation technologies. The use of such technologies can help to rapidly deploy large quantity of elements, which can dynamically be used for different applications. Also, the psycho-acoustic annoyance is usually based on the Zwicker's model, but this model does not consider tonality of sounds to weight the subjective nuisance produced. In this work, we show a on-going work for the implementation of the nodes and EDGE/Fog to determine a modified version of the Zwicker's model, to consider sound tonality (based on Aures' method). This implementation has been designed to consider two options for offloading, one with sampling and computation on the EDGE and another with sampling in 5G-nodes and computation on the EDGE.

KW - EDGE

KW - IoT

KW - Matlab

KW - psycho-acoustics

KW - tonality

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U2 - 10.1145/3544538.3544666

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ER -

Segura-García J, Lopez-Ballester J, Felici-Castell S, Perez-Solano JJ, Alcaraz-Calero JM, Fayos-Jordan R et al. Soundscape monitoring of modified psychoacoustic annoyance with Next-Generation EDGE computing and IoT. In EATIS '22: Proceedings of the 11th Euro American Conference on Telematics and Information Systems. United States: ACM. 2022. 18 Epub 2022 Jun 1. doi: 10.1145/3544538.3544666

Soundscape monitoring of modified psychoacoustic annoyance with Next-Generation EDGE computing and IoT

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Keywords

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