VocaliD: personalizing text-to-speech synthesis for individuals with severe speech impairment

doi:10.1145/1639642.1639704

VocaliD: personalizing text-to-speech synthesis for individuals with severe speech impairment

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Authors:	Camil Jreige	Northeastern University, Boston, MA, USA
	Rupal Patel	Northeastern University, Boston, MA, USA
	H. Timothy Bunnell	A.I. DuPont Hospital for children, Wilmington, DE, USA

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	Assets '09 Proceedings of the 11th international ACM SIGACCESS conference on Computers and accessibility
	ACM New York, NY, USA ©2009 table of contents ISBN: 978-1-60558-558-1 doi>10.1145/1639642.1639704

	2009 Article Poster
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Tags: algorithms assistive communication design dysarthria human factors life and medical sciences speech generation devices synthesis text-to-speech

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