Machine Learning in Speech and Language Processing

This workshop continues a tradition of MLSLP workshops held as satellites of ICML, ACL, and Interspeech conferences. 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 is a venue for locating and incubating the next waves of research directions for interaction and collaboration. The workshop will (1) discuss 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. Example topics include new directions for deep learning in speech/language, reinforcement learning, unsupervised/semi-supervised learning, domain adaptation/transfer learning, and topics at the boundary of speech, text, and other modalities.