Anomalous Sound Detection Using Self-Attention-Based Frequency Pattern Analysis of Machine Sounds

Zhang, H Guan, J Zhu, Q

Xiao, F Liu, Y

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Field	Value	Language
dc.contributor.author	Zhang, H
dc.contributor.author	Guan, J
dc.contributor.author	Zhu, Q https://orcid.org/0000-0003-3942-0945
dc.contributor.author	Xiao, F
dc.contributor.author	Liu, Y
dc.date.accessioned	2023-10-09T06:35:57Z
dc.date.available	2023-10-09T06:35:57Z
dc.identifier.citation	INTERSPEECH 2023, pp. 336-340
dc.identifier.uri	http://hdl.handle.net/10453/172602
dc.language	en
dc.publisher	International Speech Communication Association
dc.relation.ispartof	INTERSPEECH 2023
dc.relation.ispartof	INTERSPEECH 2023
dc.relation.isbasedon	10.21437/interspeech.2023-2416
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.title	Anomalous Sound Detection Using Self-Attention-Based Frequency Pattern Analysis of Machine Sounds
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	recently_added	*
dc.date.updated	2023-10-09T06:35:56Z
pubs.publication-status	Published online

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