| 摘要: |
| 提出了从语音信号中识别情感特征的方法.从5名说话者中搜集了带有欢快、愤怒、惊奇和悲伤的情感语句共300句.从这些语音资料中提取了10个情感特征.提出了3种基于主元素分析的语音信号中的情感识别方法.使用这些方法获得了基本上接近于人的正常表现的识别效果. |
| 关键词: 情感识别 语音信号 韵律特征 主元素分析 |
| DOI： |
| 分类号: |
| 基金项目:国家自然科学基金资助项目(69871009) |
|
| A Study on Emotional Recognition in Speech Signal |
|
ZHAO Li,QIAN Xiang min,ZHOU Cai rong,WU Zhen yang
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| Abstract: |
| In this paper, some methods are proposed to discriminate utterances from the speech signal. A corpus containing emotional speech of happiness, anger, surprise and sorrow with over 300 utterances from five speakers is recorded. Ten emotional features are extracted from the speech signal. Three emotion recognition methods are introduced based on principal component analysis. Using these methods, recognition performance is obtained, which is close to human performance on the task. |
| Key words: emotional recognition speech signal prosodic feature principal component analysis |
