Title :
Convex Regularizations for the Simultaneous Recording of Room Impulse Responses
Author :
Benichoux, Alexis ; Simon, Laurent ; Vincent, Emmanuel ; Gribonval, Remi
Author_Institution :
IRISA, Univ. de Rennes 1, Rennes, France
Abstract :
We propose to acquire large sets of room impulse responses (RIRs) by simultaneously playing known source signals on multiple loudspeakers. We then estimate the RIRs via a convex optimization algorithm using convex penalties promoting sparsity and/or exponential amplitude envelope. We validate this approach on real-world recordings. The proposed algorithm makes it possible to estimate the RIRs to a reasonable accuracy even when the number of recorded samples is smaller than the number of RIR samples to be estimated, thereby leading to a speedup of the recording process compared to state-of-the-art RIR acquisition techniques. Moreover, the penalty promoting both sparsity and exponential amplitude envelope provides the best results in terms of robustness to the choice of its parameters, thereby consolidating the evidence in favor of sparse regularization for RIR estimation. Finally, the impact of the choice of the emitted signals is analyzed and evaluated.
Keywords :
audio recording; estimation theory; loudspeakers; optimisation; signal processing; transient response; RIR acquisition; RIR estimation; RIR samples; amplitude envelope; convex optimization; convex penalty; convex regularizations; known source signals; loudspeakers; real-world recordings; reasonable accuracy; recording process; room impulse responses; sparse regularization; sparsity; Convex functions; Estimation; Loudspeakers; Microphones; Signal processing; Signal processing algorithms; Time-frequency analysis; Compressed sensing; convex optimization; room impulse response recording;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2014.2303431