• DocumentCode
    3347187
  • Title

    Ultra low-power sub-band acoustic echo cancellation for wireless headsets

  • Author

    Johnson, Julie ; Cornu, Etienne ; Choy, Gary ; Wdowiak, John

  • Author_Institution
    Dspfactory Ltd, Waterloo, Ont., Canada
  • Volume
    5
  • fYear
    2004
  • fDate
    17-21 May 2004
  • Abstract
    Integrating voice-processing algorithms into headsets is a challenging task due to size and power constraints. As a result of the small size of these headsets, acoustic leakage between the closely located speaker and microphone is a common problem. To address this problem, an oversampled sub-band adaptive acoustic echo cancellation system is proposed and implemented on an ultra-low resource DSP system. The echo cancellation algorithm is integrated with two voice activity detectors and double-talk detection logic to provide a fully functional system. By using decimation, load balancing and other optimization techniques, the complete system consumes about 6 mW. Other signal-processing algorithms can be added with very little impact on power consumption and no impact on size. Tests on a Bluetooth headset show an echo return loss enhancement of about 15 dB for a typical headset signal level.
  • Keywords
    Bluetooth; acoustic signal processing; adaptive signal processing; echo suppression; optimisation; signal sampling; telephone sets; Bluetooth headset; DSP system; acoustic echo cancellation; acoustic leakage; adaptive echo cancellation; decimation; double-talk detection logic; load balancing; optimization techniques; oversampled echo cancellation; power consumption; signal-processing algorithms; sub-band echo cancellation; voice activity detectors; voice-processing algorithms; wireless headsets; Acoustic signal detection; Detectors; Digital signal processing; Echo cancellers; Energy consumption; Load management; Logic; Loudspeakers; Microphones; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-8484-9
  • Type

    conf

  • DOI
    10.1109/ICASSP.2004.1327121
  • Filename
    1327121