One Year of Contender: What Have We Learned about Assessing and Tuning Industrial Spoken Dialog Systems?
David Suendermann, Roberto Pieraccini · 2012
Alot. SinceinceptionofContender,amachine learning method tailored for computerassisted decision making in industrial spoken dialog systems, it was rolled out in over 200 instances throughout our applications processing nearly 40 million calls. The net effect of this data-driven method is a significantly increased system performance gaining about 100,000 additional automated calls every month. 1 From the unwieldiness ofdata to the Contender process Academic institutions involved in the research on spoken dialog systems often lack access to data for