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Prototype-Based Minimum Classification Error / Generalized Probabilistic Descent Training for Various Speech Units

机译：基于原型的最小分类误差/各种语音单元的广义概率下降训练

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Erik Mcdermott; Shigeru Katagiri;
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年度 1994
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1. Minimum Classification Error Training of Hidden Conditional Random Fields for Speech and Speaker Recognition [J] . Wei-Tyng Hong Journal of information science and engineering . 2013,第4期

机译：隐藏条件随机场用于语音和说话者识别的最小分类误差训练
2. Minimum classification error training in example based speech and pattern recognition using sparse weight matrices [J] . Matton M, Van Compernolle D, Cools R Journal of Computational and Applied Mathematics . 2010,第4期

机译：使用稀疏权重矩阵的基于示例的语音和模式识别中的最小分类错误训练
3. Discriminative Training for Large-Vocabulary Speech Recognition Using Minimum Classification Error [J] . Erik McDermott, Timothy J. Hazen, Jonathan Le Roux, IEEE transactions on audio, speech and language processing . 2007,第1期

机译：使用最小分类误差的大词汇语音识别的判别训练
4. A telephone-based directory assistance system adaptively trained using minimum classification error/generalized probabilistic descent [C] . McDermott, E., Woudenberg, . 1996

机译：使用最小分类错误/广义概率下降自适应训练的基于电话的目录服务系统
5. A generalization of the minimum classification error (MCE) training method for speech recognition and detection. [D] . Fu, Qiang. 2008

机译：语音识别和检测的最小分类错误（MCE）训练方法的概括。
6. The distribution of speech errors in multi-word prosodic units [O] . Wook Kyung Choe, Melissa A. Redford -1

机译：言语失误的多词韵律单位的分布
7. Minimum classification error training in example based speech and pattern recognition using sparse weight matrices [O] . Matton, Mike, Van Compernolle, Dirk, Cools, Ronald 2010

机译：使用稀疏权重矩阵的基于示例的语音和模式识别中的最小分类错误训练

Prototype-Based Minimum Classification Error / Generalized Probabilistic Descent Training for Various Speech Units

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