Blind extraction of a dominant source signal from mixtures of many sources

Hiroshi Sawada*, Shoko Araki, Ryo Mukai, Shoji Makino

*この研究の対応する著者

研究成果: Conference contribution

19 被引用数 (Scopus)

抄録

This paper presents a method for enhancing a dominant target source that is close to sensors, and suppressing other interferences. The enhancement is performed blindly, i.e. without knowing the number of total sources or information about each source, such as position and active time. We consider a general case where the number of sources is larger than the number of sensors. We employ a two-stage processing technique where a spatial filter is first employed in each frequency bin and time-frequency masking is then used to improve the performance further. To obtain the spatial filter we employ independent component analysis and then select the component of the target source. Time-frequency masks in the second stage are obtained by calculating the angle between the basis vector corresponding to the target source and a sample vector. The experimental results for a simulated cocktail party situation were very encouraging.

本文言語English
ホスト出版物のタイトル2005 IEEE International Conference on Acoustics, Speech, and Signal Processing,ICASSP '05 - Proceedings - Audio and ElectroacousticsSignal Processing for Communication
出版社Institute of Electrical and Electronics Engineers Inc.
ページ61-64
ページ数4
ISBN(印刷版)0780388747, 9780780388741
DOI
出版ステータスPublished - 2005
外部発表はい
イベント2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 - Philadelphia, PA, United States
継続期間: 2005 3 182005 3 23

出版物シリーズ

名前ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
III
ISSN(印刷版)1520-6149

Conference

Conference2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05
国/地域United States
CityPhiladelphia, PA
Period05/3/1805/3/23

ASJC Scopus subject areas

  • ソフトウェア
  • 信号処理
  • 電子工学および電気工学

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