• DocumentCode
    177896
  • Title

    Robust acoustic echo cancellation in the short-time fourier transform domain using adaptive crossband filters

  • Author

    Wung, Jason ; Giacobello, Daniele ; Atkins, Joshua

  • Author_Institution
    Beats Electron., LLC, Santa Monica, CA, USA
  • fYear
    2014
  • fDate
    4-9 May 2014
  • Firstpage
    1300
  • Lastpage
    1304
  • Abstract
    This paper presents a robust acoustic echo cancellation (AEC) system in the short-time Fourier transform (STFT) domain using adaptive crossband filters. The STFT-domain AEC allows for a simpler system structure compared to the traditional frequency-domain AEC, which normally requires several applications of the discrete Fourier transform (DFT) and the inverse DFT, while the robust AEC (RAEC) allows for continuous and stable filter updates during double talk without freezing the adaptive filter. The RAEC and the STFT-domain AEC have been investigated in the past in separate studies. In this work we propose a novel algorithm that combines the advantages of both approaches for robust update of the adaptive crossband filters even during double talk. Experimental results confirm the benefit of incorporating the robustness constraint for the adaptive crossband filters and show improved performance in terms of the echo reduction and the predicted sound quality.
  • Keywords
    adaptive filters; discrete Fourier transforms; echo suppression; AEC; STFT domain; adaptive crossband filters; continuous filter; echo reduction; inverse DFT; inverse discrete Fourier transform; predicted sound quality; robust acoustic echo cancellation; short-time Fourier transform domain; simpler system structure; stable filter; Discrete Fourier transforms; Echo cancellers; Frequency-domain analysis; Noise; Robustness; Speech; Acoustic echo cancellation; adaptive filter; crossband filters; robustness; short-time Fourier transform (STFT);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
  • Conference_Location
    Florence
  • Type

    conf

  • DOI
    10.1109/ICASSP.2014.6853807
  • Filename
    6853807