针对LBG算法中初始码书生成存在盲目性的问题，提出了一种基于训练向量集合分量之间的相关性进行码向量分割的方法。

To alleviate the blindness of Linde-Buzo-Gray algorithm(LBG algorithm) while generating initial codebook, a new code word splitting method based on covariance of training vector is proposed.

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支持向量机用作说话人确认模型来训练目标说话人和背景说话人的语音数据。

The support vector machine based speaker verification models are trained on the enrolled speaker and the background model.

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最后一个主题将讲解支持向量机分类物中核心使用的可训练物件侦测系统。

The last topic is about a trainable object detection system using at its core a Support Vector Machine classifier.

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