BibTex
2019
Pastor-Aparicio, A; López-Ballester, J; Segura-Garcia, J; Felici-Castell, S; Cobos-Serrano, M; Fayos-Jordán, R; Pérez-Solano, J J; Cibrián, R M; Giménez-Pérez, A; Arana-Burgui, M
Zwicker's annoyance model implementation in a WASN node Proceedings Article
En: INTER-NOISE 2019 MADRID - 48th International Congress and Exhibition on Noise Control Engineering, 2019, ISBN: 9788487985317.
Resumen | BibTeX | Etiquetas: Annoyance, Environment, Noise, WASN
@inproceedings{Pastor-Aparicio2019,
title = {Zwicker's annoyance model implementation in a WASN node},
author = {A Pastor-Aparicio and J López-Ballester and J Segura-Garcia and S Felici-Castell and M Cobos-Serrano and R Fayos-Jordán and J J Pérez-Solano and R M Cibrián and A Giménez-Pérez and M Arana-Burgui},
isbn = {9788487985317},
year = {2019},
date = {2019-01-01},
booktitle = {INTER-NOISE 2019 MADRID - 48th International Congress and Exhibition on Noise Control Engineering},
abstract = {textcopyright INTER-NOISE 2019 MADRID - 48th International Congress and Exhibition on Noise Control Engineering. All Rights Reserved. Wireless Acoustic Sensor Network (WASN) nodes for noise measurement and acoustic environment description is a common use in the environmental measurement within the Smart City. The implementation of the psycho-acoustic parameters in each WASN node is a tricky problem and currently is the battle horse in the automatic acoustic environment description. In this work, the implementation and the improvement of the algorithms used for each psycho-acoustic parameter is described and the performance of the implementation measured.},
keywords = {Annoyance, Environment, Noise, WASN},
pubstate = {published},
tppubtype = {inproceedings}
}
textcopyright INTER-NOISE 2019 MADRID - 48th International Congress and Exhibition on Noise Control Engineering. All Rights Reserved. Wireless Acoustic Sensor Network (WASN) nodes for noise measurement and acoustic environment description is a common use in the environmental measurement within the Smart City. The implementation of the psycho-acoustic parameters in each WASN node is a tricky problem and currently is the battle horse in the automatic acoustic environment description. In this work, the implementation and the improvement of the algorithms used for each psycho-acoustic parameter is described and the performance of the implementation measured.