• Sunao Hara, Masanobu Abe
• Proceedings of the 52nd International Congress and Exposition on Noise Control Engineering (Inter-Noise 2023), Paper ID 1-11-18, 12 pages, Chiba, Japan, Aug. 2023. (Oral)
• doi: n/a

Abstract

This paper presents a sound map to visualize environmental sounds collected using a cloud sensing approach, i.e. participatory sensing and opportunistic sensing. Our sound map have two major extra functions than a simple noise map which visualized sound levels. The first one is introduction of visualization of sound-type icons on the noise map to enrich information. The second one is animating a transition of sound levels on noise map to visible the change according to the time in a day as a simulation. To demonstrate our sound map and develop the functions, we carried out several experiments. First, we developed a sound collection system to simultaneously collect physical sounds, their statistics, and their subjective impression. Then, we conducted sound collection experiments using the developed system in Okayama city and Kurashiki city. We analyze the data to focus on the difference between the cities and the differences between the usual and the unusual days. Furthermore, the collected data included subjective impressions by participants. We try to predict bustle situations in sightseeing areas by two approaches; the first is using Gaussian Mixture Models, and the second is using i-vector, which is well-known approach in the speaker identification tasks.

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