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Energy Contour Features Extraction Based on Fourier Transform and Hilbert-Huang Transform
Author(s): 
Pages: 45-49
Year: Issue:  1
Journal: Journal of Wuyi University(Natural Science Edition)

Keyword:  vice recognitionFourier TransformHilbert-Huang Transformenergy contour;
Abstract: The energy contour features of men’s and women’s voice are extracted using the Hilbert-Huang Transform and the Fourier Transform respectively,the effectiveness of the characteristics of the two methods of extraction is determined through the clustering performance analysis. Matlab simulation results show that the clustering effect of the voice features extracted by HHT is better than that by FT. Voice features extracted by HHT can better reflect the personality information of different speakers and can improve recognition rates.
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