标题:The extraction of differential MFCC based on EMD
作者:Chu, Yun Yun ;Xiong, Wei Hua ;Shi, Wei Wei ;Liu, Yu
作者机构:[Chu, Yun Yun ;Xiong, Wei Hua ;Shi, Wei Wei ;Liu, Yu ] College of Mechanical and Automation Zhejiang SCI-TECH University, Hangzhou, Zhejiang Province, 更多
会议名称:2012 2nd International Conference on Machinery Electronics and Control Engineering, ICMECE 2012
会议日期:December 29, 2012 - December 30, 2012
来源:Applied Mechanics and Materials
出版年:2013
卷:313-314
页码:1167-1170
DOI:10.4028/www.scientific.net/AMM.313-314.1167
摘要:Feature extraction is the key to the object recognition. How to obtain effective, reliable characteristic parameters from the limited measured data is a question of great importance in feature extraction. This paper presents a method based on Empirical Mode Decomposition (EMD) for the extraction of Mel Frequency Cepstrum Coefficients (MFCCs) and its first order difference from original speech signals that contain four kinds of emotions such as anger, happiness, surprise and natural for emotion recognition. And the experiments compare the recognition rate of MFCC, differential MFCC (Both of them are extracted based on EMD) or their combination through using Support Vector Machine (SVM) to recognize speakers' emotional speech identity. It proves that the combination of MFCC and its first order difference has a highest recognition rate. © (2013) Trans Tech Publications, Switzerland.
收录类别:EI
资源类型:会议论文
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