Speech Enhancement Based on Adaptive Noise Power Estimation Using Spectral Difference

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抄録

In this paper, we propose a spectral difference approach for noise power estimation in speech enhancement. The noise power estimate is given by recursively averaging past spectral power values using a smoothing parameter based on the current observation. The smoothing parameter in time and frequency is adjusted by the spectral difference between consecutive frames that can efficiently characterize noise variation. Specifically, we propose an effective technique based on a sigmoid-type function in order to adaptively determine the smoothing parameter based on the spectral difference. Compared to a conventional method, the proposed noise estimate is computationally efficient and able to effectively follow noise changes under various noise conditions.

収録刊行物

  • IEICE transactions on fundamentals of electronics, communications and computer sciences

    IEICE transactions on fundamentals of electronics, communications and computer sciences 94(10), 2031-2034, 2011-10-01

    一般社団法人 電子情報通信学会

参考文献:  7件中 1-7件 を表示

各種コード

  • NII論文ID(NAID)
    10030191314
  • NII書誌ID(NCID)
    AA10826239
  • 本文言語コード
    ENG
  • 資料種別
    SHO
  • ISSN
    09168508
  • データ提供元
    CJP書誌  J-STAGE 
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