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基于HMM-UBM的声纹密码识别

, PP. 664-668

Keywords: 隐马尔可夫模型(HMM),通用背景模型(UBM),声纹密码,高斯混合模型

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Abstract:

声纹识别中,提出基于隐马尔可夫-通用背景模型的识别算法。针对声纹密码中每个人的注册语音数据量很少的问题,提出使用大量其他人数据先建立话者无关的声韵母隐马尔可夫模型作为通用背景模型,再根据最大后验概率准则,以通用背景模型为基础使用训练语音自适应获得说话人模型。该方法解决在声纹密码识别中训练数据不足的问题。在讯飞桌面数据库Ⅱ上,采用该算法的系统的等错误率为6。8%。

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