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Speech recognition using log-linear model

机译:使用对数线性模型的语音识别

摘要

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, relating to generating log-linear models. In some implementations, n-gram parameter values derived from an n-gram language model are obtained. N-gram features for a log-linear language model are determined based on the n-grams corresponding to the obtained n-gram parameter values. A weight for each of the determined n-gram features is determined, where the weight is determined based on (i) an n-gram parameter value that is derived from the n-gram language model and that corresponds to a particular n-gram, and (ii) an n-gram parameter value that is derived from the n-gram language model and that corresponds to an n-gram that is a sub-sequence within the particular n-gram. A log-linear language model having the determined n-gram features is generated, where the determined n-gram features in the log-linear language model have weights that are initialized based on the determined weights.
机译:与生成对数线性模型有关的方法,系统和装置,包括编码在计算机存储介质上的计算机程序。在一些实现中,获得从n-gram语言模型导出的n-gram参数值。基于对应于获得的n-gram参数值的n-gram确定对数线性语言模型的n-gram特征。确定每个确定的n-gram特征的权重,其中权重是基于(i)从n-gram语言模型派生并对应于特定n-gram的n-gram参数值确定的, (ii)从n-gram语言模型导出的n-gram参数值,其对应于作为特定n-gram内的子序列的n-gram。生成具有确定的n-gram特征的对数线性语言模型,其中在log-linear语言模型中确定的n-gram特征具有基于确定的权重初始化的权重。

著录项

  • 公开/公告号US10134394B2

    专利类型

  • 公开/公告日2018-11-20

    原文格式PDF

  • 申请/专利权人 GOOGLE LLC;

    申请/专利号US201514708465

  • 发明设计人 DIAMANTINO ANTONIO CASEIRO;FADI BIADSY;

    申请日2015-05-11

  • 分类号G10L15/197;G06F17/27;

  • 国家 US

  • 入库时间 2022-08-21 12:10:21

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