Acoustic Categorization of the urban Multi-Sensor Network of the DYNAMAP LIFE project developed for Road Traffic Noise Mapping

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.