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ACL
2003

Classifying Recognition Results for Spoken Dialog Systems

13 years 5 months ago
Classifying Recognition Results for Spoken Dialog Systems
This paper investigates the correlation between acoustic confidence scores as returned by speech recognizers with recognition quality. We report the results of two machine learning experiments that predict the word error rate of recognition hypotheses and the confidence error rate for individual words within them.
Malte Gabsdil
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2003
Where ACL
Authors Malte Gabsdil
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