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Estimating semantic confidence for spoken dialogue systems
2002
IEEE International Conference on Acoustics Speech and Signal Processing
In order for a spoken dialogue system to carry on a fluent conversation, it must be able to estimate confidence in its interpretation of the input that it is receiving. It must realize when it doesn't understand the user and interact to correct the problem. To this end, most systems have some form of confidence assessment mechanism. These algorithms generally estimate confidence on a word-by-word basis and sometimes use these estimates to accept or reject an utterance as a whole. This paper
doi:10.1109/icassp.2002.5743697
dblp:conf/icassp/PradhanW02
fatcat:whnmxsdxufgg3hsrngtdka4b4m