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KMID : 0917520050120010123
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Journal of Speech Sciences
2005 Volume.12 No. 1 p.123 ~ p.134
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Verification of Normalized Confidence Measure Using n-Phone Based Statistics
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Kim Byoung-Don
Kim Jin-Young
Na Seung-You
Choi Seung-Ho
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Abstract
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Confidence measure (CM) is used for the rejection of mis-recognized words in an automatic speech recognition (ASR) system. Rahim, Lee, Juang and Cho’s confidence measure (RLJC-CM) is one of the widely-used CMs [1]. The RLJC-CM is calculated by averaging phone-level CMs. An extension of the RLJC-CM was achieved by Kim et al [2]. They devised the normalized CM (NCM), which is a statistically normalized version of the RLJC-CM by using the tri-phone based CM normalization. In this paper we verify the NCM by generalizing tri-phone to n-phone unit. To apply various units for the normalization, mono-phone, tri-phone, quin-phone and -phone are tested. By the experiments in the domain of the isolated word recognition we show that tri-phone based normalization is sufficient enough to enhance the rejection performance of the ASR system. Also we explain the NCM in regard to two class pattern classification problems.
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KEYWORD
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CM, RLJC-CM, NCM
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