Acoustic Echo Cancellation Using Gaussian Processes
2009
In this paper Gaussian process is applied to linear and nonlinear acoustic echo cancellation. Gaussian process is a kernel method in which predictions to new inputs are made based on the linear combination of kernel functions evaluated at each training data. First order acoustic echo-path is modeled by a linear equation of input data and second order acoustic echo-path is modeled by the second order polynomials. The performance of the cancellation is evaluated by white signal, stationary colored signal, non-stationary colored signal and real speech data. It is shown that more than 70 dB echo cancellation can be acieved within 400 ms.
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