Improving audio anomalies recognition using temporal convolutional attention networks

Huang, Q. and Hain, T. orcid.org/0000-0003-0939-3464 (2021) Improving audio anomalies recognition using temporal convolutional attention networks. In: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 06-11 Jun 2021, Toronto, ON, Canada. Institute of Electrical and Electronics Engineers , pp. 6473-6477. ISBN 9781728176062

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Keywords: Audio anomaly classification; temporal convolutional network; self-attention
Dates:
  • Published (online): 13 May 2021
  • Published: 13 May 2021
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Funding Information:
FunderGrant number
Innovate UK104264
Depositing User: Symplectic Sheffield
Date Deposited: 15 Jul 2022 08:46
Last Modified: 20 Jul 2022 02:02
Status: Published
Publisher: Institute of Electrical and Electronics Engineers
Refereed: Yes
Identification Number: https://doi.org/10.1109/icassp39728.2021.9414611
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