This brings up the issue of multiple voting.

这样会出现多次投票的问题。

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

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。

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To realize the goal, the thesis employs multiple computing centers and one voting centers managing the entire voting procedure. And It also provides fair voting and counting stages.

为了实现这个目标，本文利用多个计算中心和一个投票管理中心来共同协作管理整个投票流程，同时也提供了公平的投票计票平台。

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Aiming at improving the classification performance, a combination model of multiple classifier systems is presented, which takes the Sum rule and majority voting as its special cases.

为改进多分类器系统的性能，提出一个多分类器融合模型，该模型将和规则与多数投票作为特例纳入其体系中。

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The voting algorithms try to form a powerful classifier by combining multiple weak classifiers as a council of base-classifiers.

基于委员会的方法试图通过合并多个弱分类器建立一个有效的委员会来构造一个更加有效的分类器。

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According to the continuous space model for emotion, an improved queuing voting algorithm was proposed to implement the fusion of multiple emotion classifiers for a good emotion recognition result.

分别利用普通话情感语音库和德语情感语音库进行实验，结果表明，与几种传统融合算法相比，改进的排序式选举法能够取得更好的融合效果，其识别性能明显优于单分类器。

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According to the continuous space model for emotion, an improved queuing voting algorithm was proposed to implement the fusion of multiple emotion classifiers for a good emotion recognition result.

分别利用普通话情感语音库和德语情感语音库进行实验，结果表明，与几种传统融合算法相比，改进的排序式选举法能够取得更好的融合效果，其识别性能明显优于单分类器。

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