Descriptionollowing the environmental noise assessment approach to predict and map noise to identify areas exposed to harmful noises and to derive actions for protecting residents, newest technological developments promise advanced parameter predictions including listening. For example, NoiseModelling is a free and open-source tool initially designed to produce environmental noise maps on large urban areas which has been used for the production of sound mapping closer to perception using methods that integrate the multiplicity of sound sources and the dynamics of sound environments. Morever, sensor networks allowing permanent noise monitoring over larger areas indicate options for instantaneous, dynamic noise maps always up-to date and useable for immediate actions. Sensor networks could be used to compute more advanced indicators based on time signals generating perception-related, psychoacoustic noise maps. In this context the smart city developments call for advanced noise mapping as well as for improved predictions reflecting actual conditions instead of calculations based on some simplified assumptions. However, if sensor networks focus on overall noise, the need for (automatic) source separation immediately arises. The presentation will highlight the current state of mapping and prediction tools and will discuss the progress made and the challenges to overcome.
|Period||20 Apr 2021|
|Event title||Urban Sound Symposium 2021: null|