logo Idiap Research Institute        
 [BibTeX] [Marc21]
Ad Hoc Microphone Array Calibration: Euclidean Distance Matrix Completion Algorithm and Theoretical Guarantees
Type of publication: Journal paper
Citation: Taghizadeh_SIGPRO-2_2014
Publication status: Published
Journal: Signal Processing
Volume: 107
Year: 2015
Month: February
Pages: 123–140
DOI: 10.1016/j.sigpro.2014.07.016
Abstract: This paper addresses the problem of ad hoc microphone array calibration where only partial information about the distances between microphones is available. We construct a matrix consisting of the pairwise distances and propose to estimate the missing entries based on a novel Euclidean distance matrix completion algorithm by alternative low-rank matrix completion and projection onto the Euclidean distance space. This approach confines the recovered matrix to the EDM cone at each iteration of the matrix completion algorithm. The theoretical guarantees of the calibration performance are obtained considering the random and locally structured missing entries as well as the measurement noise on the known distances. This study elucidates the links between the calibration error and the number of microphones along with the noise level and the ratio of missing distances. Thorough experiments on real data recordings and simulated setups are conducted to demonstrate these theoretical insights. A significant improvement is achieved by the proposed Euclidean distance matrix completion algorithm over the state-of-the-art techniques for ad hoc microphone array calibration.
Projects Idiap
Authors Taghizadeh, Mohammad J.
Parhizkar, Reza
Garner, Philip N.
Bourlard, Hervé
Asaei, Afsaneh
Added by: [UNK]
Total mark: 0
  • Taghizadeh_SIGPRO-2_2014.pdf