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Utterance verification using word based minimum verification error training for recognizing a keyboard string

机译:使用基于单词的最小验证错误训练进行语音识别以识别键盘字符串

摘要

A speech recognition method and apparatus which has a first stage to provide keyword hypotheses and a second stage to provide testing of those hypotheses by utterance verification. The utterance verification used has three separate models for each word: one keyword verification model, one misrecognition verification model, and one non-keyword verification model. Further, all three are developed independently of the recognizer keyword models. Because of this independence, the three verification models can be iteratively trained using existing speech data bases to jointly provide a minimum amount of verification errors.
机译:一种语音识别方法和装置,具有第一阶段提供关键词假设,第二阶段提供通过话语验证对那些假设的测试。每个单词使用的话语验证具有三个单独的模型:一个关键字验证模型,一个误识别验证模型和一个非关键字验证模型。此外,所有这三个都是独立于识别器关键字模型开发的。由于这种独立性,可以使用现有的语音数据库对三个验证模型进行迭代训练,以共同提供最少数量的验证错误。

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