• DocumentCode
    131376
  • Title

    Wideband DOA estimation based on multi-channel speech presence probabilities

  • Author

    Parchami, Mostafa ; Wei-Ping Zhu

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, QC, Canada
  • fYear
    2014
  • fDate
    22-25 June 2014
  • Firstpage
    397
  • Lastpage
    400
  • Abstract
    This work proposes a novel scheme for the direction-of-arrival (DOA) estimation of speech signals by employing speech presence probabilities in the frequency domain. We first obtain an initial estimate of the signal´s DOA by conventional beamforming and then use it to compensate for the relative delay across the microphone array signals. The resulting signals are utilized to establish estimates of the speech presence probabilities which are applied on the frequency focusing methods to implement the wideband MUSIC approach in order to determine the final DOA estimate. Simulation results illustrate considerable performance improvement in terms of DOA estimation error in circumstances where the speech signal and background noise have different spectral content. The proposed method is extensively useful in low SNR scenarios and is robust against the choice of the frequency focusing method.
  • Keywords
    array signal processing; direction-of-arrival estimation; frequency-domain analysis; microphone arrays; spectral analysis; speech enhancement; background noise; beamforming; frequency domain; frequency focusing method; low SNR scenario; microphone array signal; multichannel speech presence probability; spectral content; speech signal enhancement; wideband DOA estimation error; wideband MUSIC approach; wideband direction-of-arrival estimation; Direction-of-arrival estimation; Estimation; Focusing; Multiple signal classification; Signal to noise ratio; Speech; Wideband;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    New Circuits and Systems Conference (NEWCAS), 2014 IEEE 12th International
  • Conference_Location
    Trois-Rivieres, QC
  • Type

    conf

  • DOI
    10.1109/NEWCAS.2014.6934066
  • Filename
    6934066