@article {Socoró:2019:0736-2935:6060,
title = "Acoustic Categorization of the urban Multi-Sensor Network of the DYNAMAP LIFE project developed for Road Traffic Noise Mapping",
journal = "INTER-NOISE and NOISE-CON Congress and Conference Proceedings",
parent_itemid = "infobike://ince/incecp",
publishercode ="ince",
year = "2019",
volume = "259",
number = "3",
publication date ="2019-09-30T00:00:00",
pages = "6060-6071",
itemtype = "ARTICLE",
issn = "0736-2935",
url = "https://ince.publisher.ingentaconnect.com/content/ince/incecp/2019/00000259/00000003/art00008",
author = "Socor{\’o}, Joan Claudi and Alsina-Pag{\‘e}s, Rosa Mar{\’ı}a and Al{\’ı}as, Francesc and Orga, Ferran",
abstract = "The DYNAMAP LIFE project proposes the implementation of a dynamic noise mapping system able to determine the acoustic impact of road infrastructures in real-time, following the European Noise Directive 2002/49/EC. A Multi-Sensor Network collects the noise level measurements in two pilot
areas: in the city of Milan and in the A90 motorway around Rome. For a proper evaluation of the equivalent noise level of road infrastructures, the anomalous noise events (ANE) unrelated to tra c noise (e.g. sirens, horns, speech, doors. . . ) should be removed automatically. For this purpose,
an anomalous noise events detector (ANED) has been designed using Mel-Frequency Cepstral Coe cients (MFCC) and Gaussian Mixture Models (GMM). This work focuses on the analysis of the spectral characteristics of the acoustic data from the 24-nodes of the Milan urban area network in order to
determine whether a single adjustment of the ANED can cope with the particularities of each sensor location. To that e ect, representative acoustic data has been collected through the Multi-Sensor network in real-operation conditions. These data have been subsequently analyzed in terms of
their spectrotemporal distribution as a first step of the generalization of the ANED algorithm for all the nodes in the WASN.",
}