Skip to main content

Research Repository

Advanced Search

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

Gilbert, James M.; Gonzalez, Jose A.; Cheah, Lam A.; Ell, Stephen R.; Green, Phil; Moore, Roger K.; Holdsworth, Ed

Authors

Jose A. Gonzalez

Lam A. Cheah

Stephen R. Ell

Phil Green

Roger K. Moore

Ed Holdsworth



Abstract

Total removal of the larynx may be required to treat laryngeal cancer: speech is lost. This article shows that it may be possible to restore speech by sensing movement of the remaining speech articulators and use machine learning algorithms to derive a transformation to convert this sensor data into an acoustic signal. The resulting “silent speech,” which may be delivered in real time, is intelligible and sounds natural. The identity of the speaker is recognisable. The sensing technique involves attaching small, unobtrusive magnets to the lips and tongue and monitoring changes in the magnetic field induced by their movement.

Citation

Gilbert, J. M., Gonzalez, J. A., Cheah, L. A., Ell, S. R., Green, P., Moore, R. K., & Holdsworth, E. (2017). Restoring speech following total removal of the larynx by a learned transformation from sensor data to acoustics. The Journal of the Acoustical Society of America, 141(3), EL307-EL313. https://doi.org/10.1121/1.4978364

Journal Article Type Article
Acceptance Date Feb 21, 2017
Online Publication Date Mar 21, 2017
Publication Date 2017-03
Deposit Date Mar 28, 2017
Publicly Available Date Dec 5, 2018
Journal Journal of the Acoustical Society of America
Print ISSN 0001-4966
Electronic ISSN 1520-8524
Publisher Acoustical Society of America
Peer Reviewed Peer Reviewed
Volume 141
Issue 3
Pages EL307-EL313
DOI https://doi.org/10.1121/1.4978364
Keywords Speech restoration; Permanent magnetic articulography; Machine learning
Public URL https://hull-repository.worktribe.com/output/450047
Publisher URL http://asa.scitation.org/doi/10.1121/1.4978364
Related Public URLs http://eprints.whiterose.ac.uk/114030/
Additional Information received: 2016-10-17; revised: 2017-01-22; accepted: 2017-02-21; published: 2017-03-21

Files

Article (603 Kb)
PDF

Copyright Statement
© 2017 Acoustical Society of America






You might also like



Downloadable Citations