Localization of multiple simultaneously active speakers in an acoustic sensor network
Brendel A, Gannot S, Kellermann W (2018)
Publication Language: English
Publication Type: Conference contribution
Publication year: 2018
Pages Range: 450-454
Event location: Sheffield
ISBN: 978-1-5386-4752-3
Abstract
This paper addresses the localization of an unknown number of acoustic sources in an enclosure. We extend a well established algorithm for localization of acoustic sources, which is based on the Expectation Maximization (EM) algorithm for clustering of phase differences by a Gaussian mixture model. Supporting a more appropriate probabilistic model for spherical data such as direction of arrival or phase differences, the von Mises distribution is used to derive a localization algorithm for multiple simultaneously active sources. Experiments with simulated room impulse responses confirm the superiority of the proposed algorithm to the existing method in terms of localization performance.
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Israel (IL)How to cite
APA:
Brendel, A., Gannot, S., & Kellermann, W. (2018). Localization of multiple simultaneously active speakers in an acoustic sensor network. In Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM) (pp. 450-454). Sheffield, GB.
MLA:
Brendel, Andreas, Sharon Gannot, and Walter Kellermann. "Localization of multiple simultaneously active speakers in an acoustic sensor network." Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), Sheffield 2018. 450-454.
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