Soundscape monitoring of modified psychoacoustic annoyance with Next-Generation EDGE computing and IoT
Authors: 
Jaume Segura-Garcia, 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-RuizAuthors Info & Claims
Jaume Segura-Garcia, 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-RuizAuthors Info & ClaimsArticle No.: 18, Pages 1 - 4
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.
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Index Terms
- Soundscape monitoring of modified psychoacoustic annoyance with Next-Generation EDGE computing and IoT
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Information & Contributors
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Published In
June 2022
127 pages
ISBN:9781450397384
DOI:10.1145/3544538
- General Chairs:
- Joaquim Sousa Pinto,
- Rogério Patrício Chagas do Nascimento,
- Program Chairs:
- Santiago Felici-Castell,
- José Javier Samper Zapater
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Publication History
Published: 09 August 2022
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- Refereed limited
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- European Comission
- Universitat de València
- Ministerio de Innovación y Economía
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EATIS2022
EATIS2022: 11 Euro American Conference on Telematics and Information Systems
June 1 - 3, 2022
Aveiro, Portugal
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Overall Acceptance Rate 17 of 64 submissions, 27%
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