• DocumentCode
    39557
  • Title

    Nonlinear Acoustic Echo Cancellation Using Voltage and Current Feedback

  • Author

    Shah, Pratik ; Lewis, Ian ; Grant, Steven ; Angrignon, Sylvain

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Missouri Univ. of Sci. & Technol., Rolla, MO, USA
  • Volume
    23
  • Issue
    10
  • fYear
    2015
  • fDate
    Oct. 2015
  • Firstpage
    1589
  • Lastpage
    1599
  • Abstract
    Acoustic echo cancellation (AEC) is a well studied problem. The underlying assumption in most echo cancellation solutions is that the echo path following the reference signal is completely linear. However, in many handheld devices, the echo path following the reference signal is nonlinear. The reason for this nonlinearity in the echo path is the use of smaller inexpensive loudspeakers and the desire for generating high sound pressure levels. This brings about the need for a nonlinear echo canceler to maintain the required echo return loss enhancement (ERLE). Many software-based solutions have been proposed to solve this problem, but the computational complexity of these solutions is prohibitively high for practical implementation. This paper analyzes the sources of nonlinearities in smartphones and proposes a simple, elegant hardware modification to significantly reduce nonlinear echo. Thorough analysis and intensive testing results show that up to 6 dB of improvement in ERLE in a real device is possible using the proposed technique.
  • Keywords
    acoustic signal processing; computational complexity; echo suppression; loudspeakers; smart phones; AEC; ERLE; computational complexity; current feedback; echo path nonlinearity; echo return loss enhancement; handheld devices; hardware modification; high-sound pressure level; loudspeakers; nonlinear acoustic echo cancellation; reference signal; smartphones; software-based solution; voltage feedback; Adaptation models; Codecs; Echo cancellers; Harmonic analysis; Loudspeakers; Speech; Current feedback; nonlinear echo cancellation; voltage feedback;
  • fLanguage
    English
  • Journal_Title
    Audio, Speech, and Language Processing, IEEE/ACM Transactions on
  • Publisher
    ieee
  • ISSN
    2329-9290
  • Type

    jour

  • DOI
    10.1109/TASLP.2015.2425955
  • Filename
    7093153