System and Method for Combining Speech Recognition Outputs From a Plurality of Domain-Specific Speech Recognizers Via Machine Learning
    1.
    发明申请
    System and Method for Combining Speech Recognition Outputs From a Plurality of Domain-Specific Speech Recognizers Via Machine Learning 审中-公开
    通过机器学习从多个领域特定的语音识别器中组合语音识别输出的系统和方法

    公开(公告)号:US20140358537A1

    公开(公告)日:2014-12-04

    申请号:US14459719

    申请日:2014-08-14

    CPC classification number: G10L15/32 G10L15/063 G10L15/26 G10L2015/0638

    Abstract: Disclosed herein are systems, methods and non-transitory computer-readable media for performing speech recognition across different applications or environments without model customization or prior knowledge of the domain of the received speech. The disclosure includes recognizing received speech with a collection of domain-specific speech recognizers, determining a speech recognition confidence for each of the speech recognition outputs, selecting speech recognition candidates based on a respective speech recognition confidence for each speech recognition output, and combining selected speech recognition candidates to generate text based on the combination.

    Abstract translation: 本文公开了用于在不需要模型定制或接收到的语音的领域的先前知识的情况下在不同的应用或环境上执行语音识别的系统,方法和非暂时的计算机可读介质。 该公开内容包括:利用特定领域的语音识别器的集合来识别接收的语音,为每个语音识别输出确定语音识别置信度,基于每个语音识别输出的相应语音识别置信度选择语音识别候选,以及组合所选语音 识别候选人基于组合生成文本。

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