基于动态贝叶斯网络的自动说话人识别

2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698) Pub Date : 2003-07-06 DOI:10.1109/ICME.2003.1221386

Lifeng Sang, Zhaohui Wu, Yingchun Yang, Wanfeng Zhang

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引用次数: 6

摘要

提出了一种基于动态贝叶斯网络(DBN)的自动说话人识别方法。dbn具有精确且易于理解的概率语义，并且能够结合先验知识，表示任意非线性，并以具有高可扩展性的原则方式处理隐藏变量和丢失数据。与其他经典方法相比，YOHO语料库的实验评价结果令人满意。

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Automatic speaker recognition using dynamic Bayesian network

This paper presents a novel approach to automatic speaker recognition using dynamic Bayesian network (DBN). DBNs have a precise and well-understand probabilistic semantics, and it has the ability to incorporate prior knowledge, to represent arbitrary non-linearities, and to handle hidden variables and missing data in a principled way with high extensibility. Experimental evaluation over YOHO corpus shows promising results compared to other classical methods.

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2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698)

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