A basic protocol for the acoustic characterization of small and medium-sized classrooms.


Journal

The Journal of the Acoustical Society of America
ISSN: 1520-8524
Titre abrégé: J Acoust Soc Am
Pays: United States
ID NLM: 7503051

Informations de publication

Date de publication:
09 2022
Historique:
entrez: 1 10 2022
pubmed: 2 10 2022
medline: 5 10 2022
Statut: ppublish

Résumé

To promote a fast and effective characterization of the sound environment in small and medium-sized classrooms, a basic measurement protocol, based on a minimum number of parameters and positions, is provided. Measurements were taken in 29 occupied classrooms belonging to 13 primary schools in Turin, Italy, that differ in location and typology. The background noise level was acquired during silent and group activities, and the reverberation time, speech clarity, useful-to-detrimental ratio and speech level, were acquired along the main axis of each classroom and in one or two offset positions. To reduce the number of measured parameters that can be used to fully characterize classroom acoustics, data were divided into two groups on the basis of a cutoff value of maximum occupied reverberation time in the case of moderate and severe requirements. Given the strong correlation among the quantities, thresholds were identified for the other acoustical parameters, and their accuracy and precision were tested to assess their ability to classify the acoustic quality as compliant or non-compliant. Results suggest that more convenient parameters, like clarity in the central position of the classroom, can be used instead of reverberation time to classify classroom acoustics.

Identifiants

pubmed: 36182332
doi: 10.1121/10.0013504
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1646

Auteurs

Arianna Astolfi (A)

Politecnico di Torino, Department of Energy, Corso Duca degli Abruzzi 24, 10129 Torino, Italy.

Greta Minelli (G)

Politecnico di Torino, Department of Energy, Corso Duca degli Abruzzi 24, 10129 Torino, Italy.

Giuseppina Emma Puglisi (GE)

Politecnico di Torino, Department of Energy, Corso Duca degli Abruzzi 24, 10129 Torino, Italy.

Articles similaires

Humans Child Adolescent Nervous System Diseases Schools
Sound Neural Networks, Computer Acoustics Algorithms Humans
Humans Aged Middle Aged Adult Attention

Classifications MeSH