The goal of the symposium is to foster communication and collaboration between researchers in these synergistic areas, taking advantage of the nearby location of Interspeech 2012. It is the second annual meeting of the Machine Learning Special Interest Group (SIGML) of the International Speech Communication Association (ISCA). (See last year's symposium here.)
The workshop will feature both invited talks and general submissions. Submissions focusing on novel research are solicited. In addition, we especially encourage position and review papers addressing topics that are relevant to speech, machine learning, and NLP research. These areas include, but are not limited to, applications to speech/NLP of SVMs, log-linear models, neural networks, kernel methods, discriminative transforms, large-margin training, discriminative training, active/semi-supervised/unsupervised learning, structured prediction, Bayesian modeling, deep learning, and sparse representations.
Prospective authors are invited to submit papers written in English via the "Submissions" link to the left. Each paper will be reviewed by at least two reviewers, and each accepted paper must have at least one registered author.
Shai Ben-David, Hal Daume III, Li Deng, Inderjit Dhillon, Mark Gales, Georg Heigold, Erik McDermott, Hoifung Poon, Brian Roark, Dirk van Compernolle
|Scientific Chair: Joseph Keshet||TTI-Chicago|
|Speech Processing Chair: Karen Livescu||TTI-Chicago|
|Natural Language Processing Chair: David Chiang||University of Southern California and Information Sciences Institute|
|Machine Learning Chair: Fei Sha||University of Southern California|
|Local Organization: Mark Hasegawa-Johnson||University of Illinois at Urbana-Champaign|
|John Blitzer||Hung-An Chang||Hal Daume III||Najim Dehak||Prasanta Kumar Ghosh||Brian Kingsbury||Lin-Shan Lee||Yang Liu||Pavel Matejka||Vikramjit Mitra||Patrick Nguyen||Anton Ragni||Frank Rudzicz||Tara Sainath||George Saon||Michael Seltzer||Amarnag Subramanya||Qun Feng Tan||Balakrishnan Varadarajan||Roy Wallace||Dong Yu|