{"publication":"38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013)","date_updated":"2023-10-26T08:11:12Z","type":"conference","main_file_link":[{"open_access":"1","url":"https://groups.uni-paderborn.de/nt/pubs/2013/JacSchHae_ICASSP2013_Rev2.pdf"}],"language":[{"iso":"eng"}],"department":[{"_id":"54"}],"publication_identifier":{"issn":["1520-6149"]},"_id":"11832","title":"DoA-Based Microphone Array Position Self-Calibration Using Circular Statistic","citation":{"ieee":"F. Jacob, J. Schmalenstroeer, and R. Haeb-Umbach, “DoA-Based Microphone Array Position Self-Calibration Using Circular Statistic,” in 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), 2013, pp. 116–120, doi: 10.1109/ICASSP.2013.6637620.","mla":"Jacob, Florian, et al. “DoA-Based Microphone Array Position Self-Calibration Using Circular Statistic.” 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), 2013, pp. 116–20, doi:10.1109/ICASSP.2013.6637620.","ama":"Jacob F, Schmalenstroeer J, Haeb-Umbach R. DoA-Based Microphone Array Position Self-Calibration Using Circular Statistic. In: 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013). ; 2013:116-120. doi:10.1109/ICASSP.2013.6637620","bibtex":"@inproceedings{Jacob_Schmalenstroeer_Haeb-Umbach_2013, title={DoA-Based Microphone Array Position Self-Calibration Using Circular Statistic}, DOI={10.1109/ICASSP.2013.6637620}, booktitle={38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013)}, author={Jacob, Florian and Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}, year={2013}, pages={116–120} }","apa":"Jacob, F., Schmalenstroeer, J., & Haeb-Umbach, R. (2013). DoA-Based Microphone Array Position Self-Calibration Using Circular Statistic. 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), 116–120. https://doi.org/10.1109/ICASSP.2013.6637620","short":"F. Jacob, J. Schmalenstroeer, R. Haeb-Umbach, in: 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), 2013, pp. 116–120.","chicago":"Jacob, Florian, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. “DoA-Based Microphone Array Position Self-Calibration Using Circular Statistic.” In 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), 116–20, 2013. https://doi.org/10.1109/ICASSP.2013.6637620."},"user_id":"460","year":"2013","status":"public","author":[{"full_name":"Jacob, Florian","last_name":"Jacob","first_name":"Florian"},{"first_name":"Joerg","full_name":"Schmalenstroeer, Joerg","id":"460","last_name":"Schmalenstroeer"},{"full_name":"Haeb-Umbach, Reinhold","id":"242","last_name":"Haeb-Umbach","first_name":"Reinhold"}],"doi":"10.1109/ICASSP.2013.6637620","page":"116-120","keyword":["Geometry calibration","microphone arrays","position self-calibration"],"date_created":"2019-07-12T05:29:07Z","related_material":{"link":[{"description":"Presentation","url":"https://groups.uni-paderborn.de/nt/pubs/2013/JaScHa13_Presentation.pdf","relation":"supplementary_material"}]},"oa":"1","abstract":[{"lang":"eng","text":"In this paper we propose an approach to retrieve the absolute geometry of an acoustic sensor network, consisting of spatially distributed microphone arrays, from reverberant speech input. The calibration relies on direction of arrival measurements of the individual arrays. The proposed calibration algorithm is derived from a maximum-likelihood approach employing circular statistics. Since a sensor node consists of a microphone array with known intra-array geometry, we are able to obtain an absolute geometry estimate, including angles and distances. Simulation results demonstrate the effectiveness of the approach."}],"quality_controlled":"1"}