A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä

Optimized reference spectrum for rating the facade sound insulation




TekijätVirjonen Petra, Hongisto Valtteri, Mäkelä Marko M, Pahikkala Tapio

KustantajaACOUSTICAL SOC AMER AMER INST PHYSICS

Julkaisuvuosi2020

JournalJournal of the Acoustical Society of America

Tietokannassa oleva lehden nimiJOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA

Lehden akronyymiJ ACOUST SOC AM

Vuosikerta148

Numero5

Aloitussivu3107

Lopetussivu3116

Sivujen määrä10

ISSN0001-4966

eISSN0001-4966

DOIhttps://doi.org/10.1121/10.0002452

Verkko-osoitehttps://asa.scitation.org/doi/10.1121/10.0002452

Rinnakkaistallenteen osoitehttps://research.utu.fi/converis/portal/detail/Publication/51032393


Tiivistelmä
Objectively determined single-number-quantities (SNQs) describing the airborne sound insulation of a facade should correspond to the subjective perception of annoyance to road traffic sounds transmitted through a facade. The reference spectra for spectrum adaptation terms C and Ctr in standard ISO 717-7 (International Organization for Standardization, 2013) are not based on psycho-acoustic evidence. The aim of this study is to develop reference spectra which result in SNQs that explain the subjective annoyance of road traffic sounds transmitted through a facade well. Data from a psycho-acoustic experiment by Hongisto, Oliva, and Rekola [J. Acoust. Soc. Am. 144(2), 1100-1112 (2018)] were used. The data included annoyance ratings for road traffic sounds (five different spectrum alternatives) attenuated by the facade (twelve different sound insulation spectrum alternatives), rated by 43 participants. The reference spectrum for each road traffic spectrum was found using mathematical optimization. The performance of the acquired SNQs was estimated with nested cross-validation. The SNQs determined with the optimized reference spectra performed better than the existing SNQs for two road traffic spectra out of five and for an aggregate of the five road traffic sound types. The results can be exploited in the development of standardized SNQs.

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Last updated on 2024-26-11 at 17:06