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中文摘要：
在基于GMM的与文本无关说话人识别系统中考虑性别差异，提出了把不同性别的说话人特征参数归成不同的两个子集，识别时先判断待识别说话入特征是属于哪个性别子集后，再在相应的子集中进行识别的方法。实验结果表明。该方法能改善基于GMM的与文本无关说话人识别系统的识别率。
英文摘要：
Considering sex differences in the text-independent speaker recognition system based on GMM, a recognition system is proposed, by which the characteristic parameters of the speaker of different sex are classifies into two different subsets. During recognition processing, which subset the characteristic of speaker belongs to is first calculated, then further recognition in the subset is done. The result of the experiment indicates that this method can improve the recognition rate of the text-independent speaker recognition system based on GMM.
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