Vehicle noise emissions are highly dependent on the road surface roughness and materials. A classification of the road surface conditions may be useful in several regards, from driving assistance to in-car audio equalization. With the present work we exploit deep neural networks for the classification of the road surface roughness using microphones placed inside and outside the vehicle. A database is built to test our classification algorithms and results are reported, showing that the roughness classification is feasible with the proposed approach.

Authors: Ambrosini, Livio; Gabrielli, Leonardo; Vesperini, Fabio; Squartini, Stefano; Cattani, Luca
Affiliations: Universita Politecnica delle Marche, Ancona, Italy; ASK Industries S.p.A., Montecavolo di Quattro Castella (RE), Italy(See document for exact affiliation information.)
AES Convention: 144 (May 2018) Paper Number: 9934
Publication Date: May 14, 2018 Import into BibTeX
Subject: Posters: Applications
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=19451

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