2016
INTERSPEECH
INTERSPEECH 2016
CloudCAST — Remote Speech Technology for Speech Professionals
Abstract
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.
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Conference Pioneer
— INTERSPEECH 2016
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Keyword Pioneer
— clinical application
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Hot Topic Early Bird
— machine learning
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio