Journal of Jilin University(Information Science Ed ›› 2016, Vol. 34 ›› Issue (1): 29-33.

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Voice Activity Detection Based on Phase Modulation Feature

SHANG Yongqiang, YIN Weilai, JIANG Shuangshuang, WANG Jinfang   

  1. College of Communications Engineering, Jilin University, Changchun 130012, China
  • Received:2014-12-01 Online:2016-01-25 Published:2016-05-10

Abstract:

Addressing the problems that the existing features of voice activity detection is susceptible to interference of various environmental noise, this paper proposes an algorithm using PM(Phase-Modulation) based feature. The feature of phase modulation is capable of fully characterizing the speech dynamic. And compared with the static features, it can more efficiently presents the difference between speech and noise to a higher degree which is the key for the well performed detection. The experimental results of voice activity detection using phase modulation feature and MFCC(Mel Frequency Cepstrum Coefficient) show that phase modulation feature is obviously better than MFCC.

Key words: voice activity detection, modified group delay function spectrum ( MODGDF), modulation spectrum, phase modulation

CLC Number: 

  • TN912. 3