Restoring speech following total removal of the larynx by a learned transformation from sensor data to acoustics

Gilbert, J.M., Gonzalez Lopez, J.A. orcid.org/0000-0002-5531-8994, Cheah, L.A. et al. (4 more authors) (2017) Restoring speech following total removal of the larynx by a learned transformation from sensor data to acoustics. Journal of the Acoustical Society of America, 141 (3). EL307-EL307. ISSN 0001-4966

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2017 Acoustical Society of America. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the Acoustical Society of America. The following article appeared in Journal of the Acoustical Society of America Vol 141, part 3 and may be found at https://doi.org/10.1121/1.4978364
Dates:
  • Published: 21 March 2017
  • Accepted: 21 February 2017
  • Published (online): 21 March 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: 24 Mar 2017 11:27
Last Modified: 21 Sep 2017 00:38
Published Version: https://doi.org/10.1121/1.4978364
Status: Published
Publisher: Acoustical Society of America
Refereed: Yes
Identification Number: https://doi.org/10.1121/1.4978364
Related URLs:

Share / Export

Statistics