Empirical evaluation of sequence-to-sequence models for word discovery in low-resource settings

Boito, M.Z., Villavicencio, A. orcid.org/0000-0002-3731-9168 and Besacier, L. (2019) Empirical evaluation of sequence-to-sequence models for word discovery in low-resource settings. In: Kubin, G. and Kačič, Z., (eds.) Interspeech 2019 - Proceedings of the Annual Conference of the International Speech Communication Association. Interspeech 2019, 15-19 Sep 2019, Graz, Austria. Interspeech Proceedings . International Speech Communication Association (ISCA) , pp. 2688-2692.

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Copyright, Publisher and Additional Information: © 2019 International Speech Communication Association. Reproduced in accordance with the publisher's self-archiving policy.
Keywords: sequence-to-sequence models; soft-alignment matrices; word discovery; low-resource languages; computational language documentation
Dates:
  • Published (online): 15 September 2019
  • Published: 15 September 2019
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: 04 Feb 2020 14:50
Last Modified: 04 Feb 2020 14:50
Published Version: https://www.isca-speech.org/archive/Interspeech_20...
Status: Published
Publisher: International Speech Communication Association (ISCA)
Series Name: Interspeech Proceedings
Refereed: Yes
Identification Number: https://doi.org/10.21437/Interspeech.2019-2029
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