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基于模糊集理论的语音情感识别
Speech Emotion Recognition Based on Fuzzy Logic Theory
【摘要】 本文提出了一种基于模糊集理论的情感特征识别方法,实现了对3种情感的识别:欢快、愤怒和悲伤。利用提取的情感语句全局统计特征参数,对从10名话者中搜集的100句情感识别语句,获得了不错的平均情感识别率。
【Abstract】 This paper proposes an emotion features detection method based on the fuzzy logic theory,which realizes three emotions recognition i.e.happiness,angry,and sadness.Using the extracted global statistical nature parameter of the emotion sentence,we have obtained a good average emotion recognition rate among the 100 emotion recognition sentences which are collected from 10 talkers.
【关键词】 语音情感识别;
模糊集;
线性判别分析;
【Key words】 emotional feature recognition; fuzzy logic; linear discriminant analysis;
【Key words】 emotional feature recognition; fuzzy logic; linear discriminant analysis;
- 【文献出处】 信息化研究 ,Informatization Research , 编辑部邮箱 ,2011年02期
- 【分类号】TN912.34
- 【被引频次】2
- 【下载频次】102