Room size estimation from acoustic impulse responses

Abstract

This paper investigates how to estimate the room size from acoustic impulse responses. The proposed approach contains two phases, impulse response estimation and room size estimation. In the former, we utilize the adaptive signal processing, namely least mean square algorithm, to iteratively approximate the acoustic impulse response (AIR), which indicates the room geometry with multipath. In the latter, given the virtual sources and the computed AIR, the proposed approach is cable of determining the room size based on the constrains of the mapping between virtual sources and the arrival ranking of AIR. Simulation results verify the effectiveness of the proposed approach.