Detection-guided fast affine projection channel estimator for speech applications

  • Authors:

  • Yan Wu Jennifer;John Homer;Geert Rombouts;Marc Moonen

  • Affiliations:

  • Canberra Research Laboratory, National ICT Australia and Research School of Information Science and Engineering, The Australian National University, Canberra, Australia;School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane QLD, Australia;Departement Elektrotechniek, Katholieke Universiteit Leuven, ESAT/SCD, Heverlee, Belgium;Departement Elektrotechniek, Katholieke Universiteit Leuven, ESAT/SCD, Heverlee, Belgium

  • Venue:
  • EURASIP Journal on Audio, Speech, and Music Processing
  • Year:
  • 2007

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Abstract

In various adaptive estimation applications, such as acoustic echo cancellation within teleconferencing systems, the input signal is a highly correlated speech. This, in general, leads to extremely slow convergence of the NLMS adaptive FIR estimator. As a result, for such applications, the affine projection algorithm (APA) or the low-complexity version, the fast affine projection (FAP) algorithm, is commonly employed instead of the NLMS algorithm. In such applications, the signal propagation channel may have a relatively low-dimensional impulse response structure, that is, the number m of active or significant taps within the (discrete-time modelled) channel impulse response is much less than the overall tap length n of the channel impulse response. For such cases, we investigate the inclusion of an active-parameter detection-guided concept within the fast affine projection FIR channel estimator. Simulation results indicate that the proposed detection-guided fast affine projection channel estimator has improved convergence speed and has lead to better steady-state performance than the standard fast affine projection channel estimator, especially in the important case of highly correlated speech input signals.