Journal of information and communication convergence engineering

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Robust Entropy Based Voice Activity Detection Using Parameter Reconstruction in Noisy Environment

  • Han, Hag-Yong (Department of Electronic Engineering, Dong-A University) ;
  • Lee, Kwang-Seok (School of Electronic Information and Communication Engineering, Kyungil University) ;
  • Koh, Si-Young (School of Electronic Information and Communication Engineering, Kyungil University) ;
  • Hur, Kang-In (Department of Electronic Engineering, Dong-A University)
  • Published : 2003.12.01
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Abstract

Voice activity detection is a important problem in the speech recognition and speech communication. This paper introduces new feature parameter which are reconstructed by spectral entropy of information theory for robust voice activity detection in the noise environment, then analyzes and compares it with energy method of voice activity detection and performance. In experiments, we confirmed that spectral entropy and its reconstructed parameter are superior than the energy method for robust voice activity detection in the various noise environment.

Keywords

References

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