• DocumentCode
    1883820
  • Title

    Performance analysis of multiple sparse source localization with triangular pyramid microphone array in noise environment

  • Author

    Ren, Mengqi ; Zou, Yuexian

  • Author_Institution
    Adv. Digital Signal Process. Lab., Peking Univ., Shenzhen, China
  • fYear
    2012
  • fDate
    12-15 Aug. 2012
  • Firstpage
    315
  • Lastpage
    319
  • Abstract
    Direction of arrival (DOA) estimation for multiple speakers using a small microphone array is one challenging research topic and has vast promising applications. One efficient solution is transforming the problem of estimating DOAs of multiple sources simultaneously to estimate DOA of one source at each time-frequency (TF) point by using the sparsity attribute of speech signal. The TPMA-RIPD algorithm proposed in [1] is one multiple sources DOA estimation algorithm following this route, which has shown high DOA estimation accuracy and robustness to additive white noise from the experimental results. In this paper, the robustness of the TPMA-RIPD algorithm is analyzed. The TPMA-RIPD algorithm under the real setup experiments has been evaluated, which further validates the good accuracy and robustness of the proposed algorithm.
  • Keywords
    direction-of-arrival estimation; microphone arrays; time-frequency analysis; TF point; TPMA-RIPD algorithm; direction-of-arrival estimation; multiple source DOA estimation algorithm; multiple sparse source localization; multiple speakers; noise environment; speech signal; time-frequency point; triangular pyramid microphone array; Algorithm design and analysis; Arrays; Direction of arrival estimation; Estimation; Microphones; Noise; Signal processing algorithms; Direction of arrival; TPMA-RIPD algorithm; performance analysis; real scenario; time-frequency sparsity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, Communication and Computing (ICSPCC), 2012 IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4673-2192-1
  • Type

    conf

  • DOI
    10.1109/ICSPCC.2012.6335702
  • Filename
    6335702