Demba Ba, Flavio Ribeiro, Cha Zhang, and Dinei Florencio
Acoustic room modeling has several applications. Recent results us-
ing large microphone arrays show good performance, and are helpful
in many applications. For example, when designing a better acous-
tic treatment for a concert hall, these large arrays can be used to
help map the acoustic environment and aid in the design. However,
in real-time applications – including de-reverberation, sound source
localization, speech enhancement and 3D audio – it is desirable to
model the room with existing small arrays and existing loudspeakers.
In this paper we propose a novel room modeling algorithm, which
uses a constrained room model and ℓ1-regularized least-squares to
achieve good estimation of room geometry. We present experimen-
tal results on both real and synthetic data.
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