OPTIMIZATIONS TO DECODING OF WFST MODELS FOR AUTOMATIC SPEECH RECOGNITION
    4.
    发明申请
    OPTIMIZATIONS TO DECODING OF WFST MODELS FOR AUTOMATIC SPEECH RECOGNITION 有权
    用于自动语音识别的WFST模型的解码优化

    公开(公告)号:US20160093292A1

    公开(公告)日:2016-03-31

    申请号:US14499049

    申请日:2014-09-26

    CPC classification number: G10L15/02 G10L15/142 G10L2015/025 G10L2015/0635

    Abstract: A method in a computing device for decoding a weighted finite state transducer (WFST) for automatic speech recognition is described. The method includes sorting a set of one or more WFST arcs based on their arc weight in ascending order. The method further includes iterating through each arc in the sorted set of arcs according to the ascending order until the score of the generated token corresponding to an arc exceeds a score threshold. The method further includes discarding any remaining arcs in the set of arcs that have yet to be considered.

    Abstract translation: 描述了用于解码用于自动语音识别的加权有限状态换能器(WFST)的计算装置中的方法。 该方法包括按照升序排列一组或多个基于其弧权重的WFST弧。 该方法还包括根据升序迭代排序的弧组合中的每个弧,直到与弧相对应的所生成的令牌的得分超过分数阈值。 该方法还包括丢弃尚未考虑的弧组中的任何剩余弧。

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