APSIPA Transactions on Signal and Information Processing > Vol 12 > Issue 3

Repeated Update of Demixing Vectors in Independent Low-rank Matrix Analysis for Better Separation

Taishi Nakashima, Tokyo Metropolitan University, Tokyo, Japan, taishi@ieee.org , Nobutaka Ono, Tokyo Metropolitan University, Tokyo, Japan
 
Suggested Citation
Taishi Nakashima and Nobutaka Ono (2023), "Repeated Update of Demixing Vectors in Independent Low-rank Matrix Analysis for Better Separation", APSIPA Transactions on Signal and Information Processing: Vol. 12: No. 3, e20. http://dx.doi.org/10.1561/116.00000080

Publication Date: 24 May 2023
© 2023 T. Nakashima and N. Ono
 
Subjects
 
Keywords
Blind source separationindependent low-rank matrix analysisindependent vector analysisiterative projection
 

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In this article:
Introduction 
Overview of Problem Formulation and Conventional ILRMA 
Repeated Update of Demixing Vectors for ILRMA 
Experimental Validation 
Conclusion 
References 

Abstract

In this paper, we propose a better update algorithm for independent low-rank matrix analysis (ILRMA). ILRMA has two types of parameters, demixing vectors and non-negative matrix factorization parameters, which are estimated by minimizing the same objective function. Although many extensions of ILRMA have been proposed, the importance of the order of parameter updates in ILRMA is not investigated sufficiently. Because of the observation that iterative projection two (IP2) shows a higher performance than IP1, we propose a repeated update of demixing vectors with the source model fixed in one iteration; this approximates a simultaneous update of all demixing vectors together. We conducted music source separation experiments with more than 100 songs. The results showed that the proposed algorithm with the repeated update of demixing vectors outperforms the conventional ILRMA regarding separation performance and convergence speed.

DOI:10.1561/116.00000080

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APSIPA Transactions on Signal and Information Processing Special Issue - Advanced Acoustic, Sound and Audio Processing Techniques and Their Applications
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