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

Tomomi Abe, Mitsuharu Matsumoto, Shuji Hashimoto

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    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.

    Original languageEnglish
    Title of host publicationISPA 2009 - Proceedings of the 6th International Symposium on Image and Signal Processing and Analysis
    Pages47-52
    Number of pages6
    Publication statusPublished - 2009
    Event6th International Symposium on Image and Signal Processing and Analysis, ISPA 2009 - Salzburg
    Duration: 2009 Sep 162009 Sep 18

    Other

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

    ASJC Scopus subject areas

    • Computational Theory and Mathematics
    • Computer Graphics and Computer-Aided Design
    • Computer Vision and Pattern Recognition
    • Signal Processing

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    Abe, T., Matsumoto, M., & Hashimoto, S. (2009). Automatic parameter optimization of ε-fllter for acoustical signal based on cross correlation. In ISPA 2009 - Proceedings of the 6th International Symposium on Image and Signal Processing and Analysis (pp. 47-52). [5297761]