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.

Voice restoration after laryngectomy based on magnetic sensing of articulator movement and statistical articulation-to-speech conversion (2017)
Presentation / Conference Contribution
Gonzalez, J. A., Cheah, L. A., Gilbert, J. M., Bai, J., Ell, S. R., Green, P. D., & Moore, R. K. Voice restoration after laryngectomy based on magnetic sensing of articulator movement and statistical articulation-to-speech conversion. Presented at Biomedical Engineering Systems and Technologies 9th International Joint Conference, BIOSTEC 2016, Rome, Italy

© Springer International Publishing AG 2017. In this work, we present a silent speech system that is able to generate audible speech from captured movement of speech articulators. Our goal is to help laryngectomy patients, i.e. patients who have lost... Read More about Voice restoration after laryngectomy based on magnetic sensing of articulator movement and statistical articulation-to-speech conversion.

Towards an intraoral-based silent speech restoration system for post-laryngectomy voice replacement (2017)
Presentation / Conference Contribution
Cheah, L. A., Gilbert, J. M., Gonzalez, J. A., Bai, J., Ell, S. R., Green, P. D., & Moore, R. K. Towards an intraoral-based silent speech restoration system for post-laryngectomy voice replacement. Presented at International Joint Conference on Biomedical Engineering Systems and Technologies BIOSTEC 2016: Biomedical Engineering Systems and Technologies, Rome, Italy

© Springer International Publishing AG 2017, Silent Speech Interfaces (SSIs) are alternative assistive speech technologies that are capable of restoring speech communication for those individuals who have lost their voice due to laryngectomy or disea... Read More about Towards an intraoral-based silent speech restoration system for post-laryngectomy voice replacement.