Pregled bibliografske jedinice broj: 1019642
Classifying urban public spaces according to their soundscape
Classifying urban public spaces according to their soundscape // Proceedings of the 23rd International Congress on Acoustics, integrating 4th EAA Euroregio 2019 / Ochmann, Martin (ur.).
Aachen, 2019. str. 6135-6140 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1019642 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Classifying urban public spaces according to their soundscape
Autori
Sun, Kang ; Filipan, Karlo ; Aletta, Francesco ; Van Renterghem, Timothy ; De Pessemier, Toon ; Joseph, Wout ; Botteldooren, Dick ; De Coensel, Bert
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 23rd International Congress on Acoustics, integrating 4th EAA Euroregio 2019
/ Ochmann, Martin - Aachen, 2019, 6135-6140
Skup
23rd International Congress on Acoustics ; 4th EAA Euroregio 2019
Mjesto i datum
Aachen, Njemačka, 09.09.2019. - 13.09.2019
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Soundscape, Classification, Urban space
Sažetak
Cities are composed of many types of outdoor spaces, each with their distinct soundscape. Some of these soundscapes can be extraordinary, others are often less memorable. However, most locations in a city are not visited with the purpose of experiencing the soundscape. Consequently, the soundscape will not necessarily attract attention. Existing methods based on the circumplex model of affect classify soundscapes according to the pleasure and arousal they evoke, but do not fully take into account the goals and expectations of the listener. Therefore, in earlier work, a top-level hierarchical classification method was developed, which distinguishes between spaces based on the degree to which the soundscape creates awareness of the acoustical environment, matches expectations and arouses the listener. This paper presents the results of an immersive laboratory experiment, designed to validate this classification method. The experiment involved 40 participants and 50 audiovisual recordings drawn from the Urban Soundscapes of the World database. It is shown that the proposed classification method results in clearly distinct classes, and that membership to these classes can be explained well by physical parameters, extracted from the acoustical environment as well as the visual scene.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo
