PROSLI - Prosody for self-learning instruction
Workshop at ICNAAM
26-27 September 2013, Rodos Palace Hotel, Rhodes, Greece
http://www.icnaam.org/

Prosody addresses fundamental components of speech communication - such as intonation and rhythm - which must be mastered by language learners in order to understand and make themselves understood properly in the target language. Automatic Speech Recognition (ASR) almost never incorporates such components. As a result, speech technologies for self-learning instructions (SLI) are unable to offer feedback to learners as to their prosodic skills. In most cases, prosody is made object of specific separate tools.
The workshop will try to cover the whole spectrum of topics both theoretical and practical, that deal with prosody and self-learning instructions. It will include demonstration and state of the art of such tools, their effectiveness in self-learning contexts. It will address prosodic issues in language learning from both the analysis and the perception viewpoint and their accountability in real world applications. In particular, of interest to the workshop will also be ASR systems for languages like Chinese, which naturally incorporate tone level parameters in their language models; or like Japanese which need to account for durational differences at phonemic and subphonemic level.

Submission: look for formatting details in the main conference website, and then send a 4 pages extended abstract with your affiliation to this address, delmont@unive.it.

Deadlines
   •    Early-bird registration: April 20, 2013
   •    Paper submission: May 30, 2013
   •    Notification of acceptance: June 30, 2013
   •    Submission of camera ready paper: July 28, 2013
   •    Conference days: September 26-27, 2013

Program Committee
Björn Granström, KTH, Center Speech Technology
Daniel Hirst, CNRS & Aix-Marseille Université
Philippe Martin, Université Paris Diderot
Ruediger Hoffmann - Technische Universität Dresden
Helmer Strik, Radboud University, Nijmegen
Anton Batliner, University of Munich
Barbara Gili Favela, Università di Lecce
Fabio Tamburini, Università di Bologna
Jared Bernstein, Pearson Knowledge Technologies
Brigitte Bigi, CNRS & Aix-Marseille Université
Anne Bonneau, LORIA, France
Uwe Reichel, University of Munich
Rodolfo Delmonte, Ca' Foscari University Venice