All Outputs (3)

Direct Speech Reconstruction from Articulatory Sensor Data by Machine Learning (2017)
Journal Article
Gonzalez, J. A., Cheah, L. A., Gomez, A. M., Green, P. D., Gilbert, J. M., Ell, S. R., Moore, R. K., & Holdsworth, E. (2017). Direct Speech Reconstruction from Articulatory Sensor Data by Machine Learning. IEEE/ACM transactions on audio, speech, and language processing, 25(12), 2362-2374. https://doi.org/10.1109/TASLP.2017.2757263

© 2014 IEEE. This paper describes a technique that generates speech acoustics from articulator movements. Our motivation is to help people who can no longer speak following laryngectomy, a procedure that is carried out tens of thousands of times per... Read More about Direct Speech Reconstruction from Articulatory Sensor Data by Machine Learning.

Nonlinear Modeling and Verification of a Heaving Point Absorber for Wave Energy Conversion (2017)
Journal Article
Guo, B., Patton, R., Jin, S., Gilbert, J., & Parsons, D. (2017). Nonlinear Modeling and Verification of a Heaving Point Absorber for Wave Energy Conversion. IEEE Transactions on Sustainable Energy, 9(1), 453-461. https://doi.org/10.1109/tste.2017.2741341

Although the heaving Point Absorber (PA) concept is well known in wave energy conversion research, few studies focus on appropriate modelling of non-linear fluid viscous and mechanical friction dynamics. Even though these concepts are known to have n... Read More about Nonlinear Modeling and Verification of a Heaving Point Absorber for Wave Energy Conversion.

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.