关键词: 语音情感识别, 多分类器融合, 决策模板, 多样性分析

Abstract: This paper proposes a novel scheme for speech emotion recognition，which uses Decision Templates （DT） ensemble algorithm to combine base classifiers built on acoustic feature subsets.Different feature subsets can provide sufficient diversity among base classifiers，which is known as a necessary condition for improvement in ensemble performance.Compared with those methods of Majority Voting ensemble and Support Vector Machine，the ensemble scheme proposed in this paper can achieve the highest performance.On the other hand，this paper investigates the possible reasons why ensemble systems can provide potential performance，in terms of diversity analysis.

Key words: speech emotion recognition, ensemble, decision templates, diversity analysis