Geometrically Constrained Independent Vector Analysis with Auxiliary Function Approach and Iterative Source Steering

Kana Goto*, Tetsuya Ueda*, Li Li, Takeshi Yamada*, Shoji Makino

*この研究の対応する著者

研究成果: Conference contribution

6 被引用数 (Scopus)

抄録

In this paper, we propose an alternative algorithm, which is faster and more stable, for geometrically constrained independent vector analysis (GC-IVA) to tackle multichannel speech separation problem. GC-IVA is a method that combines IVA, a blind source separation method, with beamforming-based geometrical constraints, which are defined using the spatial information of the sources, so that it allows us to achieve high separation performance while able to obtain the target speech at the desired output channel. GC-IVA with auxiliary-function approach and vectorwise coordinate descent (GCAV-IVA) is one such method, which has the advantage that no step-size tuning is required, the objective function monotonically decreases, and the algorithm converges fast. However, this method requires matrix inversion, which is computationally expensive and adversely affects numerical stability. To address this problem, we propose an algorithm by using the recently introduced iterative source steering (ISS), which uses a sequence of rank-1 update. ISS does not require matrix inversion and achieves a lower computational complexity per iteration of quadratic in the number of microphones, resulting in the proposed method being faster and more stable than GCAV-IVA. The experimental results revealed that the proposed method had higher source separation performance and shorter execution time than conventional methods.

本文言語English
ホスト出版物のタイトル30th European Signal Processing Conference, EUSIPCO 2022 - Proceedings
出版社European Signal Processing Conference, EUSIPCO
ページ757-761
ページ数5
ISBN(電子版)9789082797091
出版ステータスPublished - 2022
イベント30th European Signal Processing Conference, EUSIPCO 2022 - Belgrade, Serbia
継続期間: 2022 8月 292022 9月 2

出版物シリーズ

名前European Signal Processing Conference
2022-August
ISSN(印刷版)2219-5491

Conference

Conference30th European Signal Processing Conference, EUSIPCO 2022
国/地域Serbia
CityBelgrade
Period22/8/2922/9/2

ASJC Scopus subject areas

  • 信号処理
  • 電子工学および電気工学

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