A Variational Bayesian Learning Approach for Nonlinear Acoustic Echo Control

@article{Malik2013AVB,
  title={A Variational Bayesian Learning Approach for Nonlinear Acoustic Echo Control},
  author={Sarmad Malik and Gerald Enzner},
  journal={IEEE Transactions on Signal Processing},
  year={2013},
  volume={61},
  pages={5853-5867}
}
In this work, we present novel Bayesian algorithms for acoustic echo cancellation and residual echo suppression in the presence of a memoryless loudspeaker nonlinearity. The system nonlinearity is modeled using a basis-generic nonlinear expansion. This allows us to express the microphone observation in the DFT domain in terms of the nonlinear-expansion coefficients and the acoustic echo path. We augment the observation model with first-order Markov models for the echo-path vector and the… CONTINUE READING
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