Numerical Investigation of Weight Parameters For Geometrically Constrained Independent Vector Analysis Using Vectorwise Coordinate Descent or Iterative Source Steering

Shinya Furunaga, Kana Goto, Tetsuya Ueda, Li Li, Takeshi Yamada, Shoji Makino

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

Abstract

In this paper, we experimentally investigate the effect of weight parameters in the geometrically constrained independent vector analysis (GC-IVA) based on the auxiliary function approach, where the algorithms derived using the vectorwise coordinate descent (VCD), and iterative source steering (ISS) are referred as to GC-AuxIVA-VCD and GC-AuxIVA-ISS, respectively. GC-IVA aims to achieve both high source separation performance by blind source separation and the capability of directional focusing by beamforming technique. Although the previous studies have shown that separation performance is highly dependent on the parameters that weigh the importance of each geometric constraint, the parameter space having been investigated is limited, where the weight parameters are assumed to be the same for the constraints for both the target and interference signals. Furthermore, the lack of guidance for the parameter tuning process makes applying these algorithms difficult. To improve separation performance, we separately investigate the effect of weight parameters for the constraints for the target and interference signals with numerical experiments. Moreover, we present several tips for weight parameter tuning based on the experimental results, which are necessary to bring GC-IVA one step closer to practical applications. Experimental results showed that separately considering the weights for the constraints effectively improved the source-to-distortions ratio (SDR) and source-to-interferences ratio (SIR).

Original languageEnglish
Title of host publicationInternational Workshop on Acoustic Signal Enhancement, IWAENC 2022 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665468671
DOIs
Publication statusPublished - 2022
Event17th International Workshop on Acoustic Signal Enhancement, IWAENC 2022 - Bamberg, Germany
Duration: 2022 Sep 52022 Sep 8

Publication series

NameInternational Workshop on Acoustic Signal Enhancement, IWAENC 2022 - Proceedings

Conference

Conference17th International Workshop on Acoustic Signal Enhancement, IWAENC 2022
Country/TerritoryGermany
CityBamberg
Period22/9/522/9/8

Keywords

  • geometric constraints
  • independent vector analysis
  • iterative source steering
  • Multichannel source separation
  • vectorwise coordinate descent

ASJC Scopus subject areas

  • Signal Processing
  • Acoustics and Ultrasonics

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