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风险识别与排序是反竞争情报早期预警流程中极其重要的一步，它为后期的预警决策及评估提供了依据。
Identification and prioritization of risk is the crucial step in defensive competitive intelligence early warning, which provides the bases for later period warning decisions and assessments.
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。
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.
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