An auto-relation aided multiple-input/output inverse filtering algorithm (A-RAM) is proposed for the inverse filtering of room acoustics in speech dereverberation. In A-RAM, we exploit the relationship between the received reverberant signals and the acoustic impulse responses as well as constraining the reconstructed signals of the two sub-systems. This results in an auto-relation which is then used as a constraint for the adaptive multiple input/output inversion theorem (A-MINT) algorithm. Simulation results, using both synthetic and recorded room impulse responses, show that the proposed A-RAM achieves a fast convergence compared to A-MINT.
Lei Liao, Andy W. H. Khong