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Speech recognition with combined grammar and statistical language models

机译:结合语法和统计语言模型的语音识别

摘要

Features are disclosed for performing speech recognition on utterances using a grammar and a statistical language model, such as an n-gram model. States of the grammar may correspond to states of the statistical language model. Speech recognition may be initiated using the grammar. At a given state of the grammar, speech recognition may continue at a corresponding state of the statistical language model. Speech recognition may continue using the grammar in parallel with the statistical language model, or it may continue using the statistical language model exclusively. Scores associated with the correspondences between states (e.g., backoff arcs) may be determined according to a heuristically or based on test data.
机译:公开了用于使用语法和统计语言模型(例如,n-gram模型)对发声执行语音识别的特征。语法状态可以对应于统计语言模型的状态。可以使用语法来启动语音识别。在语法的给定状态下,语音识别可以在统计语言模型的相应状态下继续。语音识别可以继续与统计语言模型并行使用语法,或者可以继续单独使用统计语言模型。可以根据试探法或基于测试数据来确定与状态(例如,退弧)之间的对应关系相关联的分数。

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