文章基本信息

标题：Utterance Verification Using Search Confusion Rate and Its N-Best Approach
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作者：Kim, Kyu-Hong ; Kim, Hoi-Rin ; Hahn, Min-Soo 等
期刊名称：ETRI Journal
印刷版ISSN：1225-6463
电子版ISSN：2233-7326
出版年度：2005
卷号：27
期号：4
页码：461-461
语种：English
出版社：Electronics and Telecommunications Research Institute
摘要：Recently, a variety of confidence measures for utterance verification has been studied to improve speech recognition performance by rejecting out-of-vocabulary inputs. Most of the conventional confidence measures for utterance verification are based primarily on hypothesis testing or an approximated posterior probability, and their performances depend on the robustness of an alternative hypothesis or the prior probability. We introduce a novel confidence measure called a search confusion rate (SCR), which does not require an alternative hypothesis or the approximation of posterior probability. Our confusion-based approach shows better performance in additive noise-corrupted speech as well as in clean speech.
关键词：Utterance verification;confidence measure;out-of-vocabulary rejection