CloudCAST — Remote Speech Technology for Speech Professionals

Phil Green, Ricard Marxer, Stuart Cunningham, Heidi Christensen, Frank Rudzicz, Maria Yancheva, André Coy, Massimiliano Malavasi, Lorenzo Desideri, Fabio Tamburini


Recent advances in speech technology are potentially of great benefit to the professionals who help people with speech problems: therapists, pathologists, educators and clinicians. There are 3 obstacles to progress which we seek to address in the CloudCAST project: • the design of applications deploying the technology should be user-driven; • the computing resource should be available remotely; • the software should be capable of personalisation: clinical applications demand individual solutions.

CloudCAST aims to provide such a resource, and in addition to gather the data produced as the applications are used, to underpin the machine learning required for further progress.


DOI: 10.21437/Interspeech.2016-148

Cite as

Green, P., Marxer, R., Cunningham, S., Christensen, H., Rudzicz, F., Yancheva, M., Coy, A., Malavasi, M., Desideri, L., Tamburini, F. (2016) CloudCAST — Remote Speech Technology for Speech Professionals. Proc. Interspeech 2016, 1608-1612.

Bibtex
@inproceedings{Green+2016,
author={Phil Green and Ricard Marxer and Stuart Cunningham and Heidi Christensen and Frank Rudzicz and Maria Yancheva and André Coy and Massimiliano Malavasi and Lorenzo Desideri and Fabio Tamburini},
title={CloudCAST — Remote Speech Technology for Speech Professionals},
year=2016,
booktitle={Interspeech 2016},
doi={10.21437/Interspeech.2016-148},
url={http://dx.doi.org/10.21437/Interspeech.2016-148},
pages={1608--1612}
}