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Speech re-recognition using external data sources

机译:使用外部数据源进行语音重新识别

摘要

Methods comprising computer programs encoded on a computer storage medium for improving speech recognition based on external data sources. In one aspect, the method comprises the steps of obtaining an initial candidate notation of a utterance using an automated speech recognizer and based on a language model not used by the automated speech recognizer in generating the initial candidate notation, the initial And identifying one or more terms that are phonetically similar to one or more terms that occur in the candidate notation. Additional actions include generating one or more additional candidate notations based on the identified one or more terms and selecting a notation among the candidate notations. The described configurations can allow data from an external data source to be used to generate more accurate notations without modifying the existing automated speech recognizer, or avoid re-compiling the automated speech recognizer.
机译:方法,包括编码在计算机存储介质上的计算机程序,用于基于外部数据源改善语音识别。在一方面,该方法包括以下步骤:使用自动语音识别器并基于自动语音识别器在生成初始候选符号,初始和识别一个或多个中未使用的语言模型时,获得话语的初始候选符号。与候选符号中出现的一个或多个术语在语音上相似的术语。附加动作包括基于所标识的一个或多个术语生成一个或多个附加候选标记,以及在候选标记中选择标记。所描述的配置可以允许将来自外部数据源的数据用于生成更准确的符号,而无需修改现有的自动语音识别器,或者避免重新编译自动语音识别器。

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