MLSLP 2016 - Workshop on Machine Learning in Speech and Language Processing (MLSLP)

MLSLP is a workshop of SIGML, the ISCA SIG on machine learning in speech and language processing. Prior workshops were held in 2011 and 2012. While research in speech and language processing has always involved machine learning (ML), current research is benefiting from even closer interaction between these fields. Speech and language processing is continually mining new ideas from ML and ML, in turn, is devoting more interest to speech and language applications. This workshop aims to be a venue for identifying and incubating the next waves of research directions for interaction and collaboration. The workshop will not be yet another venue for applications of deep learning to speech and language processing, as this is already well covered by major conferences. It will, however, include new directions for deep learning in speech/language, as well as other emerging ideas. In general, the workshop will (1) discuss the emerging research ideas with potential for impact in speech/language and (2) bring together relevant researchers from ML and speech/language who may not regularly interact at conferences.
*** Paper Submission
Prospective authors are invited to submit 2-page abstracts or 4-6 page papers through the workshop web site. Each paper/abstract will be reviewed by at least two reviewers.
*** Important Dates
May 20: Submission deadline
June 17: Accept/reject decisions sent
June 30: Final papers/abstracts due
*** Invited Speakers
Confirmed speakers thus far include Ian Goodfellow, Fei Sha, and Kai Yu. Additional speakers TBA!
*** Organizing Committee
Mark Hasegawa-Johnson, UIUC (finance chair)
Navdeep Jaitly, Google (local arrangements chair)
Joseph Keshet, Bar-Ilan University
Karen Livescu, TTI-Chicago
Tara Sainath, Google
*** Contact
mlslp2016-AT-ttic.edu