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Estimation du niveau sonore de sources d'intérêt au sein de mixtures sonores urbaines : application au trafic routier

Abstract : Acoustic sensor networks are being set up in several major cities in order to obtain a more detailed description of the urban sound environment. One challenge is to estimate useful indicators such as the road traffic noise level on the basis of sound recordings. This task is by no means trivial because of the multitude of sound sources that composed this environment. For this, Non-negative Matrix Factorization (NMF) is considered and applied on two corpuses of simulated urban sound mixtures. The interest of simulating such mixtures is the possibility of knowing all the characteristics of each sound class including the exact road traffic noise level. The first corpus consists of 750 30-second scenes mixing a road traffic component with a calibrated sound level and a more generic sound class. The various results have notably made it possible to propose a new approach, called ‘Thresholded Initialized NMF', which is proving to be the most effective. The second corpus created makes it possible to simulate sound mixtures more representatives of recordings made in cities whose realism has been validated by a perceptual test. With an average noise level estimation error of less than 1.3 dB, the Thresholded Initialized NMF stays the most suitable method for the different urban noise environments. These results open the way to the use of this method for other sound sources, such as birds' whistling and voices, which can eventually lead to the creation of multi-source noise maps.
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Submitted on : Monday, December 10, 2018 - 2:02:08 PM
Last modification on : Tuesday, April 19, 2022 - 10:15:26 AM
Long-term archiving on: : Monday, March 11, 2019 - 3:26:02 PM


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  • HAL Id : tel-01949809, version 1



Jean-Rémy Gloaguen. Estimation du niveau sonore de sources d'intérêt au sein de mixtures sonores urbaines : application au trafic routier. Acoustique [physics.class-ph]. École centrale de Nantes, 2018. Français. ⟨NNT : 2018ECDN0023⟩. ⟨tel-01949809⟩



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