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[Author] Atanu SAHA(1hit)

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  • Noise Spectrum Estimation Based on SNR Discrepancy for Speech Enhancement

    Atanu SAHA  Tetsuya SHIMAMURA  

     
    LETTER-Speech and Hearing

      Vol:
    E97-D No:2
      Page(s):
    373-377

    This letter proposes a noise spectrum estimation algorithm for speech enhancement. The algorithm incorporates the speech presence probability, which is calculated from SNR (signal-to-noise ratio) discrepancy. The discrepancy is measured based on the estimation of the a priori and a posteriori SNR. The proposed algorithm is found to be effective in rapidly switched noise environments. This is confirmed by the experimental results which indicate that the proposed algorithm when integrated in a speech enhancement scheme performs better than conventional noise estimation algorithms.