An adaptive multichannel identification system for room response equalization

This paper deals with an adaptive multichannel and multiple position room response equalization system capable of improving the listening experience in a real environment. An adaptive and accurate estimation of the room responses is provided introducing a normalized least mean square optimization approach with a variable step-size, and taking advantage of a multichannel interchannel coherence reduction technique based on the missing fundamental phenomenon. Then, the equalizer is designed with the introduction of a new prototype function obtained by combining the impulse responses recorded in the real environment to be equalized with quasi-anechoic impulse responses. Several experiments have been performed in a real scenario comparing the proposed approach with the state of the art in terms of objective and subjective measures.