Nalazite se na CroRIS probnoj okolini. Ovdje evidentirani podaci neće biti pohranjeni u Informacijskom sustavu znanosti RH. Ako je ovo greška, CroRIS produkcijskoj okolini moguće je pristupi putem poveznice www.croris.hr
izvor podataka: crosbi !

Classification of soundscapes of urban public open spaces (CROSBI ID 265929)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

Sun, Kang ; De Coensel, Bert ; Filipan, Karlo ; Aletta, Francesco ; Van Renterghem, Timothy ; De Pessemier, Toon ; Joseph, Wout ; Botteldooren, Dick Classification of soundscapes of urban public open spaces // Landscape and urban planning, 189 (2019), 139-155. doi: 10.1016/j.landurbplan.2019.04.016

Podaci o odgovornosti

Sun, Kang ; De Coensel, Bert ; Filipan, Karlo ; Aletta, Francesco ; Van Renterghem, Timothy ; De Pessemier, Toon ; Joseph, Wout ; Botteldooren, Dick

engleski

Classification of soundscapes of urban public open spaces

It is increasingly acknowledged by landscape architects and urban planners that the soundscape contributes significantly to the perception of urban public open spaces. Describing and classifying this impact, however, remains a challenge. This article presents a hierarchical method for classification that distinguishes between backgrounded and foregrounded, disruptive and supportive, and finally calming and stimulating soundscapes. This four-class classification is applied to a growing collection of immersive audio-visual recordings of sound environments from around the world that could be explored using virtual reality playback. To validate the proposed methodology, an experiment involving 40 participants and 50 soundscape stimuli collected in urban public open spaces worldwide was conducted. The experiment showed that (1) the virtual reality headset reproduction based on affordable spatial audio with 360-degree video recordings was perceived as ecologically valid in terms of realism and immersion ; (2) the proposed classification method results in well- separated classes ; (3) membership to these classes could be explained by physical parameters, both regarding sound and vision. Moreover, models based on a limited number of acoustical indicators were constructed that could correctly classify a soundscape in each of the four proposed categories, with an accuracy exceeding 88% on an independent dataset.

soundscape ; classification ; urban space

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

Podaci o izdanju

189

2019.

139-155

objavljeno

0169-2046

1872-6062

10.1016/j.landurbplan.2019.04.016

Povezanost rada

Povezane osobe



Elektrotehnika, Računarstvo

Poveznice
Indeksiranost