MLSLP is a recurring workshop, often joint with machine learning or speech/NLP conferences. Prior workshops were held in 2011, 2012, and 2016. While research in speech and language processing has always involved machine learning, 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. MLSLP is a workshop of SIGML, the SIG on machine learning in speech and language processing of ISCA (the International Speech Communication Association).
Andrew McCallum (U. Massachusetts Amherst), Joelle Pineau (McGill), Ron Weiss (Google), Jason Weston (Facebook), and Tasha Nagamine (Columbia).
Prospective authors are invited to submit 2-page abstracts or 4-6 page papers via the submission link to the left. Each paper/abstract will be reviewed by at least two reviewers. Each accepted paper/abstract must have at least one registered author.
|Karen Livescu (general chair)||TTI-Chicago|
|Anton Ragni (general chair)||U. Cambridge|
|Liang Lu (program chair)||TTI-Chicago|
|Tara Sainath (program chair)|
|Tasha Nagamine (local coordinator)||Columbia University|
|Ebru Arisoy||MEF University|
|Leonardo Badino||Italian Institute of Technology|
|Yanzhang (Ryan) He|
|Julia Hirschberg||Columbia University|
|Joseph Keshet||Bar-Ilan University|
|Michael Seltzer||Microsoft Research|