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GMM-Based Gender Identification Employing Group Delay  

Lee, Kye-Hwan (인하대학교 전자전기공학부)
Lim, Woo-Hyung (서울대 전기컴퓨터공학부)
Kim, Nam-Soo (서울대 전기컴퓨터공학부)
Chang, Joon-Hyuk (인하대학교 전자전기공학부)
Publication Information
The Journal of the Acoustical Society of Korea / v.26, no.6, 2007 , pp. 243-249 More about this Journal
Abstract
We propose an effective voice-based gender identification using group delay(GD) Generally, features for speech recognition are composed of magnitude information rather than phase information. In our approach, we address a difference between male and female for GD which is a derivative of the Fourier transform phase. Also, we propose a novel way to incorporate the features fusion scheme based on a combination of GD and magnitude information such as mel-frequency cepstral coefficients(MFCC), linear predictive coding (LPC) coefficients, reflection coefficients and formant. The experimental results indicate that GD is effective in discriminating gender and the performance is significantly improved when the proposed feature fusion technique is applied.
Keywords
Gender identification; Group delay; MFCC; GMM;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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