A derivation of minimum classification e
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Erik McDermott; Shigeru Katagiri
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Article
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2004
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Elsevier Science
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English
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The minimum classification error (MCE) framework is an approach to discriminative training for pattern recognition that explicitly incorporates a smoothed version of classification performance into the recognizer design criterion. Many studies have confirmed the effectiveness of MCE for speech recog