Cunningham, S., Green, P., Christensen, H. orcid.org/0000-0003-3028-5062 et al. (5 more authors) (2017) Cloud-Based Speech Technology for Assistive Technology Applications (CloudCAST). Studies in Health Technology and Informatics, 242. pp. 322-329. ISSN 0926-9630
Abstract
The CloudCAST platform provides a series of speech recognition services that can be integrated into assistive technology applications. The platform and the services provided by the public API are described. Several exemplar applications have been developed to demonstrate the platform to potential developers and users.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 IOS Press. This is an author produced version of a paper subsequently published in Studies in Health Technology and Informatics. Uploaded in accordance with the publisher's self-archiving policy. The final publication is available at IOS Press through https://doi.org/10.3233/978-1-61499-798-6-322. |
Keywords: | Disordered speech; speech technology |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Health and Related Research (Sheffield) > ScHARR - Sheffield Centre for Health and Related Research |
Funding Information: | Funder Grant number TORONTO REHABILITATION INSTITUTE - UNIVERSITY HEALTH NETWORK UNSPECIFIED |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 19 Sep 2017 10:28 |
Last Modified: | 22 Mar 2018 11:26 |
Published Version: | https://doi.org/10.3233/978-1-61499-798-6-322 |
Status: | Published |
Publisher: | IOS Press |
Refereed: | Yes |
Identification Number: | 10.3233/978-1-61499-798-6-322 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:121313 |