• DocumentCode
    2689875
  • Title

    Estimation of sound source number and directions under a multi-source environment

  • Author

    Hu, Jwu-Sheng ; Yang, Chia-Hsing ; Wang, Cheng-Kang

  • Author_Institution
    Dept. of Electr. & Control Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
  • fYear
    2009
  • fDate
    10-15 Oct. 2009
  • Firstpage
    181
  • Lastpage
    186
  • Abstract
    Sound source localization is an important feature in robot audition. This work proposes a sound source number and directions estimation method by using the delay information of microphone array. An eigenstructure-based generalized cross correlation method is proposed to estimate time delay between microphones. Upon obtaining the time delay information, the sound source direction and velocity can be estimated by least square method. In multiple sound source case, the time delay combination among microphones is arranged such that the estimated sound speed value falls within an acceptable range. By accumulating the estimation results of sound source direction and using adaptive K-means++ algorithm, the sound source number and directions can be estimated.
  • Keywords
    correlation methods; delays; least squares approximations; microphone arrays; pattern classification; robots; speech processing; adaptive K-means++ algorithm; cross correlation method; directions estimation method; eigenstructure; least square method; microphone array; multisource environment; robot audition; sound source localization; time delay estimation; Acoustic noise; Animals; Delay effects; Delay estimation; Equations; Humanoid robots; Humans; Least squares methods; Microphone arrays; Robot sensing systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 2009. IROS 2009. IEEE/RSJ International Conference on
  • Conference_Location
    St. Louis, MO
  • Print_ISBN
    978-1-4244-3803-7
  • Electronic_ISBN
    978-1-4244-3804-4
  • Type

    conf

  • DOI
    10.1109/IROS.2009.5354706
  • Filename
    5354706