While the sources of workers are not yet available in some countries, several efforts have been started to create local groups of workers and we welcome researchers who can describe their efforts to set up such a source.
We expect that this session will not only interest those who have used crowdsourcing and want to show their findings, but also those who are curious about how crowdsourcing can be useful for their speech processing needs.
Maxine Eskenazi, Carnegie Mellon University (firstname.lastname@example.org) has used crowdsourcing for the transcription of large amounts of speech data. She is Principal Systems Scientist in the Language Technologies Institute at Carnegie Mellon and is Director of the Dialog Research Center.
Helen Meng, The Chinese University of Hong Kong. (email@example.com) has used crowdsourcing in spoken dialog systems evaluation. She is Professor in The Chinese University of Hong Kong and Director of the CUHK-MoE-Microsoft Key Laboratory on Human-centric Computing and Interface Technologies.
David Suendermann, SpeechCycle, Inc. (firstname.lastname@example.org) has performed research into transcription and semantic annotation of tens of millions of utterances in commercial spoken dialog systems using crowdsoucing techniques. David is the Principal Speech Scientist of SpeechCycle.
Gina Levow, University of Washington (email@example.com) has worked in the area of spoken language processing for more than 15 years. She received her Ph.D. in Computer Science from M.I.T and has since pursued research at institutions including the University of Maryland (College Park), the University of Chicago, and the University of Manchester and has published more than 50 peer-reviewed papers. She is currently an Assistant Professor at the University of Washington.