Generalized gamma distributed Bayesian estimator under speech presence probability

  • Authors:
  • Atanu Saha;Tetsuya Shimamura

  • Affiliations:
  • Graduate School of Science and Engineering, Saitama University, Saitama, Japan;Graduate School of Science and Engineering, Saitama University, Saitama, Japan

  • Venue:
  • ACS'11 Proceedings of the 11th WSEAS international conference on Applied computer science
  • Year:
  • 2011

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Abstract

This paper presents an approach for speech enhancement based on the Bayesian estimator. The cost function in logarithmic domain of the Bayesian estimator is weighted by psychoacoustically motivated speech distortion measure. This weighted cost function exploits the generalized Gamma distributed speech priors under speech presence probability. The experimental results show that the proposed method provides better perception in speech quality compared to state-of-the-art speech enhancement approaches.