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Speech recognition employing a permissive recognition criterion for a repeated phrase utterance

机译:语音识别采用允许的识别标准来重复短语发声

摘要

The invention relates to a method and apparatus for speech recognition, the speech to be recognized including one or more words. Recognition is based on an analysis of a first and a second utterance. In accordance with the invention, the first utterance is compared to one or more models of speech to determine a similarity metric for each such comparison. The model of speech which most closely matches the first utterance is determined based on the one or more similarity metrics. The similarity metric corresponding to the most closely matching model of speech is analyzed to determine whether the similarity metric satisfies a first recognition criterion. The second utterance is compared to one or more models of speech associated with the most closely matching model (which may include the most closely matching model) to determine a second utterance similarity metric for each such comparison. The one or more second utterance similarity metrics are analyzed to determine whether the one or more metrics satisfies a second recognition criteria. The second utterance is recognized has the phrase corresponding to the most closely matching model of speech when the first and second recognition criteria are satisfied. The present invention has application to many problems in speech recognition including isolated word recognition and command spotting. An illustrative embodiment of the invention in the context of a cellular telephone is provided. Other embodiments are also discussed.
机译:本发明涉及一种用于语音识别的方法和装置,待识别的语音包括一个或多个单词。识别是基于对第一和第二话语的分析。根据本发明,将第一话语与一个或多个语音模型进行比较以确定每个这样的比较的相似性度量。基于一个或多个相似性度量来确定与第一话语最紧密匹配的语音模型。分析与最紧密匹配的语音模型相对应的相似性度量,以确定该相似性度量是否满足第一识别标准。将第二话语与与最紧密匹配的模型(可能包括最紧密匹配的模型)相关联的一个或多个语音模型进行比较,以确定每个此类比较的第二话语相似性度量。分析一个或多个第二话语相似性度量,以确定一个或多个度量是否满足第二识别标准。当满足第一和第二识别标准时,第二话语被识别为具有与最紧密匹配的语音模型相对应的短语。本发明已经应用于语音识别中的许多问题,包括孤立的单词识别和命令发现。提供了在蜂窝电话的情况下本发明的说明性实施例。还讨论了其他实施例。

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