A comparison between multi-channel audio equalization filters using warping

Typically, room equalization techniques do not focus on designing filters that equalize the room responses at perceptually relevant frequencies. Thus, by performing Bark warping of the room responses and using lower order spectral models, it is possible to design low order psycho-acoustically motivated equalization filters. We compare the performance, through experiments, between the traditional RMS averaging filter (with and without warping to the Bark scale) and our pattern recognition based multiple listener equalization filter with warping (Bharitkar, S. and Kyriakakis, C., Proc. 36th Asilomar Conf. on Signals, Systems and Computers, 2002). It is shown that our pattern recognition filter, using warping, outperforms the RMS averaging filter (with and without warping to the Bark scale).