Selective MCE training strategy in Mandarin speech recognition

Abstract

The use of discriminative training methods in speech recognition is a promising approach. The minimum classification error (MCE) based discriminative methods have been extensively studied and successfully applied to speech recognition [1][2][3], speaker recognition [4], and utterance verification [5][6]. Our goal is to modify the embedded string model based… (More)

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