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.
| Original language | English |
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| Title of host publication | 2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop, SAM 2018 |
| Publisher | IEEE Computer Society |
| Pages | 450-454 |
| Number of pages | 5 |
| ISBN (Print) | 9781538647523 |
| DOIs | |
| State | Published - 27 Aug 2018 |
| Event | 10th IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2018 - Sheffield, United Kingdom Duration: 8 Jul 2018 → 11 Jul 2018 |
Publication series
| Name | Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop |
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| Volume | 2018-July |
| ISSN (Electronic) | 2151-870X |
Conference
| Conference | 10th IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2018 |
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| Country/Territory | United Kingdom |
| City | Sheffield |
| Period | 8/07/18 → 11/07/18 |
Bibliographical note
Publisher Copyright:© 2018 IEEE.
Funding
ACKNOWLEDGMENT This work was supported by DFG under contract no <Ke890/10-1> within the Research Unit FOR2457 ”Acoustic Sensor Networks” Fig. 2: Box plot of the localization error as defined in (17) for the method [15] (abbreviated with GMM) and the proposed method (abbreviated with vM). The number after the abbreviation gives the number of microphone pairs.
| Funders | Funder number |
|---|---|
| Deutsche Forschungsgemeinschaft | <Ke890/10-1 |