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Method, apparatus, and system for building a compact model for large vocabulary continuous speech recognition (LVCSR) system
Method, apparatus, and system for building a compact model for large vocabulary continuous speech recognition (LVCSR) system
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机译:用于为大型词汇连续语音识别(LVCSR)系统构建紧凑模型的方法,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 mean vector set and a variance vector set of a set of N Gaussians are divided into multiple mean sub-vector sets and variance sub-vector sets, respectively. Each mean sub-vector set contains a subset of the dimensions of the corresponding mean vector set and each variance sub-vector set contains a subset of the dimensions of the corresponding variance vector set. Each resultant sub-vector set is clustered to build a codebook for the respective sub-vector set using a modified K-means clustering process which dynamically merges and splits clusters based upon the size and average distortion of each cluster during each iteration in the modified K-means clustering process.
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