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Method and system for robust pattern matching in continuous speech for spotting a keyword of interest using orthogonal matching pursuit

机译:连续语音中鲁棒模式匹配的方法和系统,用于使用正交匹配追踪来发现感兴趣的关键字

摘要

A method for speech recognition, the method includes: extracting time-frequency speech features from a series of reference speech elements in a first series of sampling windows; aligning reference speech elements that are not of equal time span duration; constructing a common subspace for the aligned speech features; determining a first set of coefficient vectors; extracting a time-frequency feature image from a test speech stream spanned by a second sampling window; approximating the extracted image in the common subspace for the aligned extracted time-frequency speech features with a second coefficient vector; computing a similarity measure between the first and the second coefficient vector; determining if the similarity measure is below a predefined threshold; and wherein a match between the reference speech elements and a portion of the test speech stream is made in response to a similarity measure below a predefined threshold. The said reference speech elements correspond to a keyword of interest, wherein Simultaneous Orthogonal Matching Pursuit (SOMP) is used in their alignment.
机译:一种用于语音识别的方法,该方法包括:从第一系列采样窗口中的一系列参考语音元素中提取时频语音特征。对齐时间跨度不相等的参考语音元素;为对齐的语音特征构造一个公共子空间;确定第一组系数向量;从由第二采样窗口跨越的测试语音流中提取时频特征图像;利用第二系数矢量近似于对齐的提取的时频语音特征在公共子空间中的提取图像;计算第一系数向量与第二系数向量之间的相似度;确定相似性度量是否低于预定阈值;其中,响应于低于预定阈值的相似性度量,在参考语音元素和一部分测试语音流之间进行匹配。所述参考语音元素对应于感兴趣的关键字,其中同时正交匹配追踪(SOMP)用于它们的对齐。

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