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METHOD, APPARATUS, AND SYSTEM FOR BUILDING A COMPACT LANGUAGE MODEL FOR LARGE VOCABULARY CONTINUOUS SPEECH RECOGNITION (LVCSR) SYSTEM
METHOD, APPARATUS, AND SYSTEM FOR BUILDING A COMPACT LANGUAGE MODEL FOR LARGE VOCABULARY CONTINUOUS SPEECH RECOGNITION (LVCSR) SYSTEM
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机译:用于建立大词汇量连续语音识别(LVCSR)系统的紧凑语言模型的方法,装置和系统
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摘要
According to one aspect of the invention, a method is provided in which a set of probabilistic attributes in an N-gram language model is classified into a plurality of classes. Each resultant class is clustered into a plurality of segments to build a codebook for the respective class using a modified K-means clustering process which dynamically adjusts the size and centroid of each segment during each iteration in the modified K-means clustering process. A probabilistic attribute in each class is then represented by the centroid of the corresponding segment to which the respective probabilistic attribute belongs.
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