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Automatic Determination of the Optimum Number of Updates in Synchronized Joint Diagonalization

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Complex, Intelligent, and Software Intensive Systems (CISIS 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 993))

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Abstract

This study focuses on Synchronized Joint Diagonalization (SJD), which is a newly proposed sound source separation (BSS) method. SJD performs iterative updates of parameters for source separation. For its practical use, it is necessary to determine the optimum number of the iterations. We proposed to optimize it by observing the differences of the estimated activation matrix before and after updates during each iteration. We confirmed the effectiveness of this approach by BSS experiments.

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Author information

Authors and Affiliations

  1. Graduate School of Engineering, Oita University, 700, Dannoharu, Oita-shi, Oita, Japan

    Taiki Izumi

  2. Denso IT Laboratory, Shibuya cross tower 28F, Shibuya-ku, Tokyo, Japan

    Yuuki Tachioka

  3. Faculty of Engineering, Oita University, 700, Dannoharu, Oita-shi, Oita, Japan

    Shingo Uenohara & Ken’ichi Furuya

Authors
  1. Taiki Izumi
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  2. Yuuki Tachioka
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  3. Shingo Uenohara
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  4. Ken’ichi Furuya
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Corresponding author

Correspondence to Taiki Izumi .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Faculty of Information Engineering, Fukuoka, Japan

    Leonard Barolli

  2. School of Software, University of Technology Sydney (UTS), Ultimo, NSW, Australia

    Farookh Khadeer Hussain

  3. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Faculty of Information Engineering, Fukuoka, Japan

    Makoto Ikeda

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Izumi, T., Tachioka, Y., Uenohara, S., Furuya, K. (2020). Automatic Determination of the Optimum Number of Updates in Synchronized Joint Diagonalization. In: Barolli, L., Hussain, F., Ikeda, M. (eds) Complex, Intelligent, and Software Intensive Systems. CISIS 2019. Advances in Intelligent Systems and Computing, vol 993. Springer, Cham. https://doi.org/10.1007/978-3-030-22354-0_67

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