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语音情绪识别中的基音周期分析
引用本文:祝宇虹,李青,王丽平.语音情绪识别中的基音周期分析[J].机械与电子,2011(10):53-56.
作者姓名:祝宇虹  李青  王丽平
作者单位:哈尔滨工业大学机器人技术与系统国家重点实验室;哈尔滨工业大学船舶工程学院(威海);
摘    要:提出了一种可以用于情绪识别的语音基音周期分析方法,利用平均短时能量和平均短时过零率结合进行语音端点的检测,通过自相关函数计算出浊音帧的基音周期。这种方法可以准确的分辨出男女声音,结合人在不同情绪下的发音特点可以进一步分辨出人的不同情绪。该方法简单易行,运算方便,为语音情绪识别提供了很好的研究手段。

关 键 词:语音情绪识别  基音周期  基音检测  语音端点检测  自相关函数

Pitch Period Analysis in the Speech Emotion Recognition
ZHU Yv-hong,LI Qing,WANG Li-ping.Pitch Period Analysis in the Speech Emotion Recognition[J].Machinery & Electronics,2011(10):53-56.
Authors:ZHU Yv-hong  LI Qing  WANG Li-ping
Affiliation:ZHU Yv-hong1,LI Qing1,WANG Li-ping2(1.State Key Laboratory of Robotics and System,Harbin Institute of Technology,Harbin 150001,China,2.School of Marine Engineering,Harbin Institute of Technology at Weihai,Weihai 264209,China)
Abstract:In this paper,a method is proposed to calculate pitch period which is used for emotional recognition.Speech signal endpoints-detection is presented by means of combining with the average short-term energy and average short-term zero-crossing rate,and then the pitch period of voiced frame is calculated by autocorrelation function.In this way,male and female voices can be distinguished accurately,and people's different moods can be identified combined with pronunciation characteristics.This method is simple a...
Keywords:speech emotion recognition  pitch period  pitch detection  speech signal endpoints-detection  autocorrelation function  
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