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语音信号中的情感特征分析和识别的研究
A Study on Emotional Feature Analysis and Recognition in Speech
【摘要】 提出了一种利用全局和时序结构的组合特征以及MMD进行情感特征识别的方法.对于从10名话者中 搜集的带有欢快,愤怒,惊奇和悲伤4种情感的1000句语句,利用提出的新的识别方法获得了94%的平均情感识别 率.
【Abstract】 This paper presents a new emotion recognition method based on the hybrid feature and MMD.The hybrid feature was composed of global and time sequence. Experiments were conducted on a task of 10 speakers’ 1000 sentences including happy, angry, surprising and sorrowful emotions to demonstrate has effectiveness of the new method. The average emotion recognition rate was reached as higher as 94% .
【关键词】 语音信号;
情感特征分析;
MMD;
情感识别;
【Key words】 speech signal; emotional feature analysis; MMD; emotion recognition;
【Key words】 speech signal; emotional feature analysis; MMD; emotion recognition;
【基金】 教育部《面向21世纪教育振兴行动计划》;教育部科学技术重点项目(No.03082)
- 【文献出处】 电子学报 ,Acta Electronica Sinica , 编辑部邮箱 ,2004年04期
- 【分类号】TP391.42
- 【被引频次】134
- 【下载频次】1352