Guest Editors: Franηois Portet, Frank Rudzicz, Jan Alexandersson, Heidi Christensen
Please note that to accommodate other recent calls for papers, we are extending the deadline for full paper submission to the ACM Transactions on Accessible Computing (TACCESS) Special Issue on Speech and Language Interaction for Daily Assistive Technology. We are also adjusting the response to authors deadline. The new dates are as follows:
* ==> Full paper submission: 28th April 2014 <== * Response to authors: 14th July 2014 * Revised submission deadline: 31st August 2014 * Notification of acceptance: 31st October 2014 * Final manuscripts due: 30th November 2014
o Contributions must not have been previously published or be under consideration for publication elsewhere, although substantial extensions of conference or workshop papers will be considered. as long as they adhere to ACM's minimum standards regarding prior publication (http://www.acm.org/pubs/sim_submissions.html). Studies involving experimentations with real target users will be appreciated. All submissions have to be prepared according to the Guide for Authors as published in the Journal website at http://www.rit.edu/gccis/taccess/.
o Submissions should follow the journal's suggested writing format ( <http://www.gccis.rit.edu/taccess/authors.html> http://www.gccis.rit.edu/taccess/authors.html) and should be submitted through Manuscript Central <http://mc.manuscriptcentral.com/taccess> http://mc.manuscriptcentral.com/taccess , indicating that the paper is intended for the Special Issue. All papers will be subject to the peer review process and final decisions regarding publication will be based on this review.
Topics of interest for submission to this special issue include (but are not limited to):
Speech, natural language and multimodal interfaces designed for people with physical or cognitive impairments
Applications of speech and NLP technology (automatic speech recognition, synthesis, dialogue, natural language generation) for AT applications
Novel modeling and machine learning approaches for AT applications
Long-term adaptation of speech/NLP based AT system to user's change
User studies, overview of speech/NLP technology for AT: understanding the user's needs and future speech and language based technologies.
Understanding, modeling and recognition of aged or disordered speech
Speech analysis and diagnosis: automatic recognition and detection of speech pathologies and speech capability loss
Speech-based distress recognition
Automated processing of symbol languages, sign language and nonverbal communication including translation systems.
Text and audio processing for improved comprehension and intelligibility, e.g., sentence simplification or text-to-speech
Evaluation methodology of systems and components in the lab and in the wild.
Resources; corpora and annotation schemes
Other topics in AAC, AAL, and AT
Frank Rudzicz, PhD
Scientist, Toronto Rehabilitation Institute;
Assistant professor, Department of Computer Science,
University of Toronto;
Founder and Chief Executive Officer, Thotra Incorporated
|| Website: <http://www.cs.toronto.edu/~frank>
|| Phone (office) : 416 597 3422 x7971
|| Fax : 416 597 3031
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