Restoring speech following total removal of the larynx by a learned transformation from sensor data to acoustics
(2017)
Journal Article
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
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... Read More about Restoring speech following total removal of the larynx by a learned transformation from sensor data to acoustics.