The Adaptive Noise Canceller (ANC) is a commonly used technique for estimation signal in additive noise. An important factor that affects the performance of the ANC is the correlated speech or crosstalk that is induced in the reference signal. In this paper a symmetric feedback implementation scheme that permits a closer placement of the microphones and allows the cancellation of noise in the presence of crosstalk is used. We consider the coupling systems modeled as linear time-invariant Finite Impulse Response (FIR) filters and propose a new recursive-based adaptive filter solution to enhance the noisy speech. The optimum filter weight adaptation is based on a Double Affine Projection Algorithm (DAPA). A comparative study with other adaptive algorithms shows the superiority of the DAPA in performance.
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