Online directional speech enhancement using geometrically constrained independent vector analysis

Li Li, Kazuhito Koishida, Shoji Makino

研究成果: Conference article査読

抄録

This paper proposes an online dual-microphone system for directional speech enhancement, which employs geometrically constrained independent vector analysis (IVA) based on the auxiliary function approach and vectorwise coordinate descent. Its offline version has recently been proposed and shown to outperform the conventional auxiliary function approach-based IVA (AuxIVA) thanks to the properly designed spatial constraints. We extend the offline algorithm to online by incorporating the autoregressive approximation of an auxiliary variable. Experimental evaluations revealed that the proposed online algorithm could work in real-time and achieved superior speech enhancement performance to online AuxIVA in both situations where a fixed target was interfered by a spatially stationary or dynamic interference.

本文言語English
ページ(範囲)61-65
ページ数5
ジャーナルProceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
2020-October
DOI
出版ステータスPublished - 2020
外部発表はい
イベント21st Annual Conference of the International Speech Communication Association, INTERSPEECH 2020 - Shanghai, China
継続期間: 2020 10月 252020 10月 29

ASJC Scopus subject areas

  • 言語および言語学
  • 人間とコンピュータの相互作用
  • 信号処理
  • ソフトウェア
  • モデリングとシミュレーション

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