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    • 6. 发明申请
    • FLEXIBLE ARCHITECTURE FOR ACOUSTIC SIGNAL PROCESSING ENGINE
    • 声学信号处理发动机的灵活结构
    • US20140188470A1
    • 2014-07-03
    • US13732329
    • 2012-12-31
    • Jenny ChangMichael E. DeisherRavishankar Iyer
    • Jenny ChangMichael E. DeisherRavishankar Iyer
    • G10L15/28
    • G10L15/14
    • A disclosed speech processor includes a front end to receive a speech input and generate a feature vector indicative of a portion of the speech input and a Gaussian mixture (GMM) circuit to receive the feature vector, model any one of a plurality of GMM speech recognition algorithms, and generate a GMM score for the feature vector based on the GMM speech recognition algorithm modeled. In at least one embodiment, the GMM circuit includes a common compute block to generate feature a vector sum indicative of a weighted sum of differences squares between the feature vector and a mixture component of the GMM speech recognition algorithm. In at least one embodiment, the GMM speech recognition algorithm being modeled includes a plurality of Gaussian mixture components and the common compute block is operable to generate feature vector scores corresponding to each of the plurality of mixture components.
    • 公开的语音处理器包括前端,用于接收语音输入并产生指示语音输入的一部分的特征向量和接收特征向量的高斯混合(GMM)电路,模拟多个GMM语音识别中的任何一个 算法,并且基于建模的GMM语音识别算法为特征向量生成GMM得分。 在至少一个实施例中,GMM电路包括公共计算块,以生成特征向量和,其指示特征向量与GMM语音识别算法的混合分量之间的平方差的加权和。 在至少一个实施例中,被建模的GMM语音识别算法包括多个高斯混合分量,并且公共计算块可操作以产生对应于多个混合分量中的每一个的特征向量分数。