| 基于SVM的汉语语音情感识别研究 |
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| 引用本文： | 芦涛,王成儒,韩笑蕾.基于SVM的汉语语音情感识别研究[J].电子测量技术,2007,30(3):20-21,56. |
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| 作者姓名： | 芦涛 王成儒 韩笑蕾 |
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| 作者单位： | 燕山大学信息科学与工程学院,秦皇岛,066004;燕山大学信息科学与工程学院,秦皇岛,066004;燕山大学信息科学与工程学院,秦皇岛,066004 |
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| 摘 要： | 随着信息技术的发展,对人机交互能力的要求不断提高,情感信息处理已成为提高人机交互能力的一个重要课题.本文提出了一种汉语语音情感分类方法,主要研究了4种基本的人类情感:高兴、愤怒、恐惧、悲伤.从汉语语音信号中提取了能量、基频、语速等特征,利用支持向量机方法识别,取得了43.7%的平均识别率.
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| 关 键 词： | 情感识别 语音信号 支持向量机 |
Emotion recognition of Chinese speech based on SVM |
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| Lu Tao,Wang Chengru,Han Xiaolei.Emotion recognition of Chinese speech based on SVM[J].Electronic Measurement Technology,2007,30(3):20-21,56. |
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| Authors: | Lu Tao Wang Chengru Han Xiaolei |
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| Affiliation: | Department of Information Science and Engineering, YanShan University, Qinhuangdao 066004 |
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| Abstract: | Human-machine interface grows its importance in accordance with the development of information communication services which indicates that the role of emotion in human recognition is essential.In this paper,a chinese speech based on emotion classification method was presented.Four basic human emotions including happiness,anger,fear and sadness were investigated.The energy,pitch and speech rate were extracted from speech signal.The SVM was used to recognize the four basic human emotions,and we have achieved an average recognition rate of approximate 43.7%. |
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| Keywords: | emotion recognition speech signal SVM |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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