Evaluation of a Silent Speech Interface based on Magnetic Sensing and Deep Learning for a Phonetically Rich Vocabulary

Gonzalez Lopez, J.A. orcid.org/0000-0002-5531-8994, Cheah, L.A., Green, P.D. et al. (4 more authors) (2017) Evaluation of a Silent Speech Interface based on Magnetic Sensing and Deep Learning for a Phonetically Rich Vocabulary. In: Proceedings of the Annual Conference of the International Speech Communication Association, Interspeech. Interspeech 2017, 20-24 August 2017, Stockholm. ISCA , Stockholm , pp. 3986-3990.

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Copyright, Publisher and Additional Information: © 2017 ISCA. This is an author produced version of a paper subsequently published in the proceedings of Interspeech 2017. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: speech rehabilitation; articulatory-to-acoustic mapping; recurrent neural network; speech synthesis
Dates:
  • Published: 20 August 2017
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: 25 Sep 2017 08:46
Last Modified: 21 Mar 2018 10:55
Published Version: https://doi.org/10.21437/Interspeech.2017
Status: Published
Publisher: ISCA
Refereed: Yes
Identification Number: https://doi.org/10.21437/Interspeech.2017

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