A CRNN network with multi-time-scale pooling and densely connected GRU layers for sound event detection
A CRNN network with multi-time-scale pooling and densely connected GRU layers for sound event detection
3324-3330
International Institute of Acoustics and Vibration
Yao, T.
e0034030-c5d8-470d-88e6-a89344d47233
Shi, C.
c46f72bd-54c7-45ee-ac5d-285691fccf81
Li, H.
01099860-a8cb-4a57-b2b3-f5a426fcba2c
1 September 2021
Yao, T.
e0034030-c5d8-470d-88e6-a89344d47233
Shi, C.
c46f72bd-54c7-45ee-ac5d-285691fccf81
Li, H.
01099860-a8cb-4a57-b2b3-f5a426fcba2c
Yao, T., Shi, C. and Li, H.
(2021)
A CRNN network with multi-time-scale pooling and densely connected GRU layers for sound event detection.
Carletti, Eleonora, Pawelczyk, Marek, Crocker, Malcolm and Tuma, Jiri
(eds.)
In 27th International Congress on Sound and Vibration (ICVS27).
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: 484466
URI: http://eprints.soton.ac.uk/id/eprint/484466
PURE UUID: 7f0c7a3f-7332-4a89-898a-eea04dbeb04f
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Date deposited: 16 Nov 2023 13:10
Last modified: 07 Mar 2024 03:09
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Contributors
Author:
T. Yao
Author:
C. Shi
Author:
H. Li
Editor:
Eleonora Carletti
Editor:
Marek Pawelczyk
Editor:
Malcolm Crocker
Editor:
Jiri Tuma
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