基于HMM-UBM和短语音的说话人身份确认

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提出了一种简单有效的与说话人有关的阈值设置方法 ,同时在确认系统中采用高斯混合模型(GMM)作为背景模型来模拟未知的冒认者的语音 ,在冒认文本多样化的情况下获得了比用隐马尔可夫模型(HMM)作背景模型更好的性能 .本文在此基础上实现了一个基于Internet的与文本有关的远程语音身份认证系统 ,在实验测试和应用测试中均获得了满意的确认性能 .
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