发明名称 Multiple recognizer speech recognition
摘要 The subject matter of this specification can be embodied in, among other things, a method that includes receiving audio data that corresponds to an utterance, obtaining a first transcription of the utterance that was generated using a limited speech recognizer. The limited speech recognizer includes a speech recognizer that includes a language model that is trained over a limited speech recognition vocabulary that includes one or more terms from a voice command grammar, but that includes fewer than all terms of an expanded grammar. A second transcription of the utterance is obtained that was generated using an expanded speech recognizer. The expanded speech recognizer includes a speech recognizer that includes a language model that is trained over an expanded speech recognition vocabulary that includes all of the terms of the expanded grammar. The utterance is classified based at least on a portion of the first transcription or the second transcription.
申请公布号 US9293136(B2) 申请公布日期 2016.03.22
申请号 US201514726943 申请日期 2015.06.01
申请人 Google Inc. 发明人 Aleksic Petar;Moreno Mengibar Pedro J.;Biadsy Fadi
分类号 G10L15/26;G06F17/27;G10L15/18;G06K9/62;G10L15/01;G10L15/32;G10L15/30;G10L15/197 主分类号 G10L15/26
代理机构 Fish & Richardson P.C. 代理人 Fish & Richardson P.C.
主权项 1. A computer-implemented method comprising: receiving (i) a first transcription of a particular utterance from a first computing device and (ii) a second transcription of the particular utterance from a second computing device; determining a grammatical alignment between the first transcription and the second transcription based on a comparison between the first transcription and the second transcription; associating each word or phrase within the first transcription and the second transcription with a measure respectively calculated for each word or phrase within the first transcription and the second transcription, the measure corresponding to a likelihood of relevance for each word or phrase within the first transcription and the second transcription; comparing the measure associated with each word or phrase within the first transcription and the second transcription; generating a combined transcription from the first transcription and the second transcription that represents the particular utterance based on the comparison of the measure associated with each word or phrase within the first transcription and the second transcription; and providing the combined transcription as a speech recognizer output of the particular utterance.
地址 Mountain View CA US
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