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

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

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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Correspondence to Taiki Izumi .

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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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