Automatic parameter optimization of ε-fllter for acoustical signal based on cross correlation

Tomomi Abe, Mitsuharu Matsumoto, Shuji Hashimoto

    研究成果: Conference contribution

    抄録

    ε-filter can reduce most kinds of noise from a single-channel noisy signal with preserving the signal that varies drastically such as a speech signal. It can reduce not only stationary noise but also nonstationary noise. However, it has some parameters whose values are set empirically. So far, there are few studies to evaluate the appropriateness of the parameter setting of ε-filter. In this paper, we employ the correlation coefficient of the filter output and the difference between the filter input and output as the evaluation function of the parameter setting. We also show the algorithm to set the optimal parameter value of ε-filter automatically. To evaluate the adequateness of the obtained parameter, we calculate the mean absolute error. The experimental results show that we can obtain the adequate parameter in ε-filter automatically by using the proposed method.

    本文言語English
    ホスト出版物のタイトルISPA 2009 - Proceedings of the 6th International Symposium on Image and Signal Processing and Analysis
    ページ47-52
    ページ数6
    出版ステータスPublished - 2009
    イベント6th International Symposium on Image and Signal Processing and Analysis, ISPA 2009 - Salzburg
    継続期間: 2009 9 162009 9 18

    Other

    Other6th International Symposium on Image and Signal Processing and Analysis, ISPA 2009
    CitySalzburg
    Period09/9/1609/9/18

    ASJC Scopus subject areas

    • 計算理論と計算数学
    • コンピュータ グラフィックスおよびコンピュータ支援設計
    • コンピュータ ビジョンおよびパターン認識
    • 信号処理

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