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</o:shapelayout></xml><![endif]--></head><body lang=EN-US link="#0563C1" vlink="#954F72"><div class=WordSection1><p class=MsoNormal>Deadline extension: CSL Special Issue on Speech Production in Speech Technologies<br><br><o:p></o:p></p><p class=MsoNormal>The use of speech production knowledge and data to enhance speech<br>recognition and other technologies is being actively pursued by a number of<br>widely dispersed research groups using different approaches. The types of<br>speech production information may include continuous articulatory<br>measurements or discrete-valued articulatory or phonological features.<br>These quantities might be directly measured, manually labeled, or unobserved<br>but considered to be latent variables in a statistical model. Applications<br>of production-based ideas include improved speech recognition, silent speech<br>interface, language training tools, and clinical models of speech disorders.<br><br>The goal of this special issue is to highlight the current state of research<br>efforts that use speech production data or knowledge. The range of data,<br>techniques, and applications currently being explored is growing, and is<br>also benefiting from new ideas in machine learning, making this a<br>particularly exciting time for this research.<o:p></o:p></p><p class=MsoNormal><br>A recent workshop, the 2013 Interspeech satellite workshop on Speech<br>Production in Automatic Speech Recognition (SPASR), as well as the special<br>session on Articulatory Data Acquisition and Processing, brought together a<br>number of researchers in this area. This special issue will expand on the<br>topics included in these events and beyond.<br>Submissions focusing on research in this area are solicited. Topics of<br>interest include, but are not limited to:<br>- The collection, labeling, and use of speech production data<br>- Acoustic-to-articulatory inversion<br>- Speech production models in speech recognition, synthesis, voice<br>conversion, and other technologies<br>- Silent speech interfaces<br>- Atypical speech production and pathology<br>- Articulatory phonology and models of speech production<br><br>Submission procedure<br>Prospective authors should follow the regular guidelines of the Computer<br>Speech and Language Journal for electronic submission<br>(<a href="http://ees.elsevier.com/csl" target="_blank">http://ees.elsevier.com/csl</a>). During submission authors must select "SI:<br>Speech Production in ST" as Article Type.<br><br>Review procedure<br>All manuscripts will be submitted through the editorial submission system<br>and will be reviewed by at least 3 experts.<br><br>Schedule:<br>June 30, 2014: *** New deadline for submissions ***<br>August 15, 2014: *** New Notification of decision ***<br>September 15, 2014: Deadline for resubmission<br>November 1, 2014: Final decision<br>December 1, 2014: Deadline for camera-ready version<br>February, 2015: Publication<br><br>Guest Editors:<br><br>Jeff Bilmes, U. Washington, <a href="mailto:bilmes@uw.edu">bilmes@uw.edu</a><br>Eric Fosler-Lussier, Ohio State U., <a href="mailto:fosler@cse.ohio-state.edu">fosler@cse.ohio-state.edu</a><br>Mark Hasegawa-Johnson, U. Illinois at Urbana-Champaign, <a href="mailto:jhasegaw@uiuc.edu">jhasegaw@uiuc.edu</a><br>Karen Livescu, TTI-Chicago, <a href="mailto:klivescu@ttic.edu">klivescu@ttic.edu</a><br>Frank Rudzicz, U. Toronto, <a href="mailto:frank@cs.toronto.edu">frank@cs.toronto.edu</a><o:p></o:p></p><p class=MsoNormal><br><br><o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Frank Rudzicz, PhD<o:p></o:p></p><p class=MsoNormal> Scientist, Toronto Rehabilitation Institute;<o:p></o:p></p><p class=MsoNormal> Assistant professor, Department of Computer Science,<o:p></o:p></p><p class=MsoNormal> University of Toronto;<o:p></o:p></p><p class=MsoNormal> Founder and Chief Executive Officer, Thotra Incorporated<o:p></o:p></p><p class=MsoNormal>|| Website: <a href="http://www.cs.toronto.edu/~frank"><span style='color:#0563C1'>http://www.cs.toronto.edu/~frank</span></a><o:p></o:p></p><p class=MsoNormal>|| Phone (office) : 416 597 3422 x7971 <o:p></o:p></p><p class=MsoNormal>|| Fax : 416 597 3031<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><o:p> </o:p></p></div></body></html>