›› 2012, Vol. 42 ›› Issue (05): 1331-1335.

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Voice activity detection algorithm based on Mel frequency cepstrum coefficient(MFCC) similarity

WANG Hong-zhi, XU Yu-chao, LI Mei-jing   

  1. School of Computer Science and Engineering, Changchun University of Technology, Changchun 130012, China
  • Received:2011-11-13 Online:2012-09-01 Published:2012-09-01

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Abstract: To improve the accuracy of Voice Activity Detection (VAD) under noisy Environment, a voice activity detection algorithm based on Mel Frequency Cepstrum Coefficient (MFCC) similarity is proposed. First, the MFCC from each frame of the voice signals is extracted. Then, the first ten frames are taken as the background noises. Finally, by calculating the MFCC correlation coefficient distance under the above noisy condition, the voice-activity parameters are detected from the MFCC similarity curves. The experiment results show that the proposed algorithm is effective under both white noise and pink noise conditions and at low signal to noise ratio.

Key words: communication, voice activity detection, Mel frequency cepstrum coefficient (MFCC), correlation coefficient

CLC Number: 

  • TN912
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