A Consideration on Multiple Sound Source Localization Using Sparseness of Speech Signal

2 References
  • MAEDA Souichirou
    Department of Electrical and Electronic Engineering, School of Engineering, Tokyo Denki University
  • SEKI Yukio
    Department of Electrical and Electronic Engineering, School of Engineering, Tokyo Denki University
  • SOMEYA Takanori
    Department of Electrical and Electronic Engineering, School of Engineering, Tokyo Denki University
  • SUYAMA Kenji
    Department of Electrical and Electronic Engineering, School of Engineering, Tokyo Denki University

Bibliographic Information

Other Title
  • 音声のスパース性を用いた複数音源定位法の一考察

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Description

In this paper, we study on a performance and a parameter value used in the reliability weighted histogram method which is a multiple sound source localization method based on the speech sparseness. In the method, the forgetting factor is used to estimate a correlation matrix and adjust a frame length for accumulating the signals. We investigate its optimal value. Next, a comparion with the other method is carried out for evaluating a performance of our method.

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Details 詳細情報について

  • CRID
    1571135652006615168
  • NII Article ID
    110008001346
  • NII Book ID
    AN10013298
  • Text Lang
    ja
  • Data Source
    • CiNii Articles

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