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 - 2022/6/1
Y1 - 2022/6/1
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
UR - http://www.scopus.com/inward/record.url?scp=85142098638&partnerID=8YFLogxK
U2 - 10.1145/3544538.3544666
DO - 10.1145/3544538.3544666
M3 - Conference contribution
AN - SCOPUS:85142098638
T3 - ACM International Conference Proceeding Series
BT - EATIS '22
PB - Association for Computing Machinery
T2 - 11th Euro-American Conference on Telematics and Information Systems, EATIS 2022
Y2 - 1 June 2022 through 3 June 2022
ER -
