Anomalous Sound Detection Using Audio Representation with Machine ID Based Contrastive Learning Pretraining

Guan, J; Xiao, F; Liu, Y; Zhu, Q; Wang, W

Anomalous Sound Detection Using Audio Representation with Machine ID Based Contrastive Learning Pretraining

Guan, J Xiao, F Liu, Y Zhu, Q

Wang, W

Permalink

Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023
Issue Date:: 2023-06-04

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

The embargo period expires on 5 May 2025

Adobe PDF

Download Accepted versionAdobe PDF (293.63 kB)

View on publisher's site

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Guan, J
dc.contributor.author	Xiao, F
dc.contributor.author	Liu, Y
dc.contributor.author	Zhu, Q https://orcid.org/0000-0003-3942-0945
dc.contributor.author	Wang, W
dc.date	2023-06-04
dc.date.accessioned	2023-10-09T06:43:55Z
dc.date.available	2023-10-09T06:43:55Z
dc.date.issued	2023-06-04
dc.identifier.citation	ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023
dc.identifier.uri	http://hdl.handle.net/10453/172604
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
dc.relation.ispartof	ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
dc.relation.isbasedon	10.1109/icassp49357.2023.10096054
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.title	Anomalous Sound Detection Using Audio Representation with Machine ID Based Contrastive Learning Pretraining
dc.type	Conference Proceeding
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
utslib.copyright.status	open_access	*
utslib.copyright.embargo	2025-05-05T00:00:00+1000Z
dc.date.updated	2023-10-09T06:43:54Z
pubs.finish-date	2023-06-10
pubs.publication-status	Published
pubs.start-date	2023-06-04

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/172604