MLSLP is a recurring workshop, often joint with machine learning or speech/NLP conferences. Prior workshops were held in 2011, 2012, 2016 and 2017. 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 discuss the emerging research ideas with potential for impact in speech/language and 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).
Shrikanth Narayanan, Professor of Electrical Engineering and Computer Science, University of Southern California, USA
Odette Scharenborg, Associate Professor, Multimedia Computing Group, Delft University of Technology, Netherlands
Yuxuan Wang, Senior Research Scientist, Google Research
Partha Pratim Talukdar, Assistant Professor, Indian Institute of Science, India
Sunita Sarawagi, Professor of Computer Science and Engineering, Indian Institute of Technology (IIT) Bombay, India
July 2, 2018 July 9, 2018 Extended abstracts due
July 16, 2018 July 23, 2018 July 27, 2018 Notification of acceptance
August 6, 2018 Final revised abstract deadline
July 30, 2018 Registration deadline (free!)
Sept 7, 2018 Workshop!
Preethi Jyothi (general chair) Indian Institute of Technology Bombay
Rohit Prabhavalkar (general chair) Google Inc.
Liang Lu (program chair) Microsoft Inc.
Tara Sainath (program chair) Google Inc.
Negar Saei (local organizer) Google Inc.
Yossi Adi / Bar-Ilan University
Ebru Arisoy / MEF University
Nancy Chen / Institute for Infocomm Research, A*STAR
Sriram Ganapathy / Indian Institute of Science
Mark Hasegawa-Johnson / UIUC
Yanzhang (Ryan) He / Google Inc.
Karen Livescu / TTI Chicago
Michael Mandel / Brooklyn College CUNY
Vimal Manohar / Johns Hopkins University
Petr Motlicek / Idiap Research Institute
Arun Narayanan / Google Inc.
Anton Ragni / University of Cambridge
Hao Tang / MIT