基于非线性Ho-Kashyap分类器的语音验证

2008 IEEE Region 8 International Conference on Computational Technologies in Electrical and Electronics Engineering Pub Date : 2008-07-21 DOI:10.1109/SIBIRCON.2008.4602653

A. Dustor

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引用次数: 6

摘要

本文提出了基于核函数的线性Ho-Kashyap分类器的改进，并将其应用于说话人验证。得到的决策函数是非线性的。比较了高斯混合模型和矢量量化等经典验证方法的验证精度。使用波兰语语料库ROBOT作为训练和测试集。对所得结果进行了讨论。

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Voice verification based on nonlinear Ho-Kashyap classifier

This article presents enhancement of a linear Ho-Kashyap classifier based on kernel functions applied to speaker verification. Obtained decision function is nonlinear. Achieved verification accuracy is compared with classical techniques like Gaussian mixture models and vector quantization. Polish speech corpora ROBOT was applied as a training and testing set. Obtained results are discussed.

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2008 IEEE Region 8 International Conference on Computational Technologies in Electrical and Electronics Engineering

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