首页> 外国专利> TECHNIQUE FOR TRAINING A PHONETIC DECISION TREE WITH LIMITED PHONETIC EXCEPTIONAL TERMS

TECHNIQUE FOR TRAINING A PHONETIC DECISION TREE WITH LIMITED PHONETIC EXCEPTIONAL TERMS

机译:用有限的语音例外条款训练语音决策树的技术

摘要

The present invention discloses a method for training an exception-limited phonetic decision tree. An initial subset of data can be selected and used for creating an initial phonetic decision tree. Additional terms can then be incorporated into the subset. The enlarged subset can be used to evaluate the phonetic decision tree with the results being categorized as either correctly or incorrectly phonetized. An exception-limited phonetic tree can be generated from the set of correctly phonetized terms. If the termination conditions for the method have been determined to be unsatisfactorily met, then steps of the method can be repeated.
机译:本发明公开了一种训练异常限制的语音决策树的方法。可以选择数据的初始子集并将其用于创建初始语音决策树。然后可以将其他术语合并到子集中。放大的子集可用于评估语音决策树,并将结果分类为正确或错误地进行语音化。可以从一组正确的语音化术语中生成一个例外限制的语音树。如果确定该方法的终止条件不令人满意,则可以重复该方法的步骤。

著录项

  • 公开/公告号US2008319753A1

    专利类型

  • 公开/公告日2008-12-25

    原文格式PDF

  • 申请/专利权人 STEVEN M. HANCOCK;

    申请/专利号US20070767751

  • 发明设计人 STEVEN M. HANCOCK;

    申请日2007-06-25

  • 分类号G10L13/00;

  • 国家 US

  • 入库时间 2022-08-21 19:32:35

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