为了提高语音情感的正确识别率，提出一种基于多分类器投票组合的语音情感识别新方法。

A new method of speech emotion recognition via voting combination of multiple classifiers is proposed for improving speech emotion classification rate.

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新的多类SVM在一定程度上解决了传统投票决策方法的不可分区域问题，因此具有更好的分类性能。

The presented multi-class SVM is of better classification ability and can solve the unclassifiable region problems int.

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集成学习方法通过同时构造多个学习器，然后对各学习器的分类结果使用投票法得到分类结果。

Integrated learning method can get classification results by constructing many learners to make a vote on classification results.

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