SiteHive Acoustic Classifier Technologies for Construction Noise Sources

Project Member(s): Halkon, B., Zhao, S.

Funding or Partner Organisation: SITEHIVE PTY LTD
SITEHIVE PTY LTD
Department of Industry, Innovation and Science (Innovation Connections)
Department of Industry, Innovation and Science (Innovation Connections)

Start year: 2023

Summary: Innovation Connections funded Researcher Placement project to research and develop AI/ML technologies for embedding into Hexanode device to reliably classify noise sources.

Publications:

Xiao, T, Halkon, B, Zhao, S, Cooper-Woolley, B, Strange, F & Ferguson, A 2023, 'Environmental noise tagging via audio spectrogram transformer', INTER-NOISE and NOISE-CON Congress and Conference Proceedings, vol. 268, no. 1, pp. 7394-7400.
View/Download from: Publisher's site

Halkon, B UTS 2023, SiteHive AI Acoustic Classifier for Noise Sources Final Report, UTS.

FOR Codes: Construction planning not elsewhere classified, Instrumentation not elsewhere classified, Acoustics and noise control (excl. architectural acoustics)

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.