Att-TasNet: attending to encodings in time-domain audio speech separation of noisy, reverberant speech mixtures

Ravenscroft, W., Goetze, S. orcid.org/0000-0003-1044-7343 and Hain, T. (2022) Att-TasNet: attending to encodings in time-domain audio speech separation of noisy, reverberant speech mixtures. Frontiers in Signal Processing, 2. 856968. ISSN 2673-8198

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Item Type: Article
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© 2022 Ravenscroft, Goetze and Hain. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

Keywords: tasnet; speech separation; speech enhancement; encoder; decoder; attention
Dates:
  • Published: 11 May 2022
  • Published (online): 11 May 2022
  • Accepted: 13 April 2022
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 11 May 2022 11:16
Last Modified: 11 May 2022 11:16
Status: Published
Publisher: Frontiers Media SA
Refereed: Yes
Identification Number: 10.3389/frsip.2022.856968
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