TY - GEN
T1 - Room helps
T2 - 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012
AU - Dokmanić, Ivan
AU - Vetterli, Martin
PY - 2012
Y1 - 2012
N2 - Acoustic source localization often relies on the free-space/far-field model. Recent work exploiting spatio-temporal sparsity promises to go beyond these scenarios. However, it requires the knowledge of the transfer functions from each possible source location to each microphone. We propose a method for indoor acoustic source localization in which the physical modeling is implicit. By approximating the wave equation with the finite element method (FEM), we naturally get a sparse recovery formulation of the source localization. We demonstrate how exploiting the bandwidth leads to improved performance and surprising results, such as localization of multiple sources with one microphone, or hearing around corners. Numerical simulation results show the feasibility of such schemes.
AB - Acoustic source localization often relies on the free-space/far-field model. Recent work exploiting spatio-temporal sparsity promises to go beyond these scenarios. However, it requires the knowledge of the transfer functions from each possible source location to each microphone. We propose a method for indoor acoustic source localization in which the physical modeling is implicit. By approximating the wave equation with the finite element method (FEM), we naturally get a sparse recovery formulation of the source localization. We demonstrate how exploiting the bandwidth leads to improved performance and surprising results, such as localization of multiple sources with one microphone, or hearing around corners. Numerical simulation results show the feasibility of such schemes.
KW - Source localization
KW - finite element method
KW - indoor localization
KW - reverberant localization
KW - sparse approximation
UR - http://www.scopus.com/inward/record.url?scp=84867619174&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84867619174&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2012.6288453
DO - 10.1109/ICASSP.2012.6288453
M3 - Conference contribution
AN - SCOPUS:84867619174
SN - 9781467300469
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 2617
EP - 2620
BT - 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings
Y2 - 25 March 2012 through 30 March 2012
ER -