TU Dortmund Department of Computer Science LS XII Pattern Recognition GroupPublications → Publication Details

Unsupervised Geometry Calibration of Acoustic Sensor Networks using Source Correspondences

J. Schmalenstroer, F. Jacob, R. Haeb-Umbach, M. H. Hennecke and G. A. Fink
Interspeech, Florence, Italy, 2011.

In this paper we propose a procedure for estimating the geometric configuration of an arbitrary acoustic sensor placement. It determines the position and the orientation of microphone arrays in 2D while locating a source by direction-of-arrival (DoA) estimation. Neither artificial calibration signals nor unnatural user activity are required. The problem of scale indeterminacy inherent to DoA-only observations is solved by adding time difference of arrival (TDOA) measurements. The geometry calibration method is numerically stable and delivers precise results in moderately reverberated rooms. Simulation results are confirmed by laboratory experiments.