Room compensation using eigenspace adaptive and wave-domain adaptive filtering

Qingyuan Deng

doi:10.1117/12.2645645

23 August 2022 Room compensation using eigenspace adaptive and wave-domain adaptive filtering

Qingyuan Deng

Proceedings Volume 12305, International Symposium on Artificial Intelligence Control and Application Technology (AICAT 2022); 123051J (2022) https://doi.org/10.1117/12.2645645
Event: International Symposium on Artificial Intelligence Control and Application Technology (AICAT 2022), 2022, Hangzhou, China

Abstract

It is always assumed that the listening room is a free-field conditions in previous acoustic experiments. However, a completely free-field conditions can impossibly be achieved due to reverberation of sound waves by the walls, which can adversely affect listening experience. So, room compensation is used to solve this problem. It can effectively reduce the influence of reverberation. Conventional adaptive filters fail to overcome the complexity of multi-channels. So, the first approach is introduced—eigenspace adaptive filtering which is based on decoupling of multiple-input-multiple-output system with generalized singular decomposition. But the varying feature of listening room alters related matrixes constantly, increasing the computational complexity of compensation processing. Then, another approach called wave domain adaptive filtering, mentioned here in the context of RLS algorithm, can be a feasible alternative to avoid computational difficulty. This paper also evaluates the performance of using circular harmonics as wave field representation.

Citation Download Citation

Qingyuan Deng "Room compensation using eigenspace adaptive and wave-domain adaptive filtering", Proc. SPIE 12305, International Symposium on Artificial Intelligence Control and Application Technology (AICAT 2022), 123051J (23 August 2022); https://doi.org/10.1117/12.2645645

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