Cascaded Fir Filters for Multiple Listener Lowfrequency Room Acoustic Equalization

Low frequency room acoustic equalization is an extremely challenging problem to solve with realizable digital equalization filters. In this paper we propose a cascaded FIR solution, using a pattern recognition technique, for multiposition room equalization at low frequencies. The cascaded FIR solution allows for a real-time implementation of realizable filters whereas the pattern recognition approach captures the variabilities in room acoustics between different listening positions for multiposition equalization. We compare the results with the popular warping with low order spectral modeling approach, as well as with the multirate approach. The proposed method outperforms both the warping based and the multirate methods as can be evidenced through published data