Automatic anomalous sound detection systems for unaligned multi-device machine sound samples
Automatic anomalous sound detection systems for unaligned multi-device machine sound samples
3207-3214
International Institute of Acoustics and Vibration
Wen, H.
53884694-3c13-40dc-a9ab-8eceaa798a63
Shi, C.
c46f72bd-54c7-45ee-ac5d-285691fccf81
Yao, D.
944bea6d-1f85-42f3-8b67-d001e3e86883
Zhang, S.
163f604a-03df-4277-99f3-23bd43bbed40
Nie, J.
a99a069f-82e9-4958-92d2-07ebba12a280
1 September 2021
Wen, H.
53884694-3c13-40dc-a9ab-8eceaa798a63
Shi, C.
c46f72bd-54c7-45ee-ac5d-285691fccf81
Yao, D.
944bea6d-1f85-42f3-8b67-d001e3e86883
Zhang, S.
163f604a-03df-4277-99f3-23bd43bbed40
Nie, J.
a99a069f-82e9-4958-92d2-07ebba12a280
Wen, H., Shi, C., Yao, D., Zhang, S. and Nie, J.
(2021)
Automatic anomalous sound detection systems for unaligned multi-device machine sound samples.
Carletti, Eleanor, Pawelczyk, Marek, Crocker, Malcolm and Turma, Jiri
(eds.)
In 27th International Congress on Sound and Vibration (ICSV27).
International Institute of Acoustics and Vibration.
.
Record type:
Conference or Workshop Item
(Paper)
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More information
Published date: 1 September 2021
Venue - Dates:
27th International Congress on Sound and Vibration, ICSV 2021, , Virtual, Online, 2021-07-11 - 2021-07-16
Identifiers
Local EPrints ID: 484467
URI: http://eprints.soton.ac.uk/id/eprint/484467
PURE UUID: 982e8b1e-0715-41cb-95d8-31f90616efad
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Date deposited: 16 Nov 2023 13:12
Last modified: 07 Mar 2024 03:09
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Contributors
Author:
H. Wen
Author:
C. Shi
Author:
D. Yao
Author:
S. Zhang
Author:
J. Nie
Editor:
Eleanor Carletti
Editor:
Marek Pawelczyk
Editor:
Malcolm Crocker
Editor:
Jiri Turma
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