Step-size parameter adaptation of multi-channel semi-blind ICA with piecewise linear model for barge-in-able robot audition

Ryu Takeda, Kazuhiro Nakadai, Toru Takahashi, Kazunori Komatani, Tetsuya Ogata, Hiroshi G. Okuno

研究成果: Conference contribution

5 引用 (Scopus)

抜粋

This paper describes a step-size parameter adaptation technique of multi-channel semi-blind independent component analysis (MCSB-ICA) for a "barge-in-able" robot audition system. By "barge-in", we mean that the user can speak simultaneously when the robot is speaking. We focused on MCSB-ICA to achieve such an audition system because it can separate a user's and a robot's speech under reverberant environments. The problem with MCSB-ICA for robot audition is the slow speed of convergence in estimating a separation filter due to its step-size parameters. Many optimization methods cannot be adopted because their computational costs are proportional to the 2nd order of the reverberation time. Our method yields adaptive step-size parameters with MCSB-ICA at low computational costs. It is based on three techniques; 1) recursive expression of the separation process, 2) a piecewise linear model of the step-size of the separation filter, and 3) adaptive step-size parameters with a sub-ICA-filter. Experimental results show that our approach attains faster convergence speed and lower computational costs than those with a fixed step-size parameter.

元の言語English
ホスト出版物のタイトル2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009
ページ2277-2282
ページ数6
DOI
出版物ステータスPublished - 2009 12 11
外部発表Yes
イベント2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009 - St. Louis, MO, United States
継続期間: 2009 10 112009 10 15

出版物シリーズ

名前2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009

Conference

Conference2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009
United States
St. Louis, MO
期間09/10/1109/10/15

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Control and Systems Engineering

フィンガープリント Step-size parameter adaptation of multi-channel semi-blind ICA with piecewise linear model for barge-in-able robot audition' の研究トピックを掘り下げます。これらはともに一意のフィンガープリントを構成します。

  • これを引用

    Takeda, R., Nakadai, K., Takahashi, T., Komatani, K., Ogata, T., & Okuno, H. G. (2009). Step-size parameter adaptation of multi-channel semi-blind ICA with piecewise linear model for barge-in-able robot audition. : 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009 (pp. 2277-2282). [5354527] (2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009). https://doi.org/10.1109/IROS.2009.5354527