[{"oa":"1","citation":{"chicago":"Jacob, Florian, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. “DoA-Based Microphone Array Position Self-Calibration Using Circular Statistic.” In <i>38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013)</i>, 116–20, 2013. <a href=\"https://doi.org/10.1109/ICASSP.2013.6637620\">https://doi.org/10.1109/ICASSP.2013.6637620</a>.","short":"F. Jacob, J. Schmalenstroeer, R. Haeb-Umbach, in: 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), 2013, pp. 116–120.","ieee":"F. Jacob, J. Schmalenstroeer, and R. Haeb-Umbach, “DoA-Based Microphone Array Position Self-Calibration Using Circular Statistic,” in <i>38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013)</i>, 2013, pp. 116–120, doi: <a href=\"https://doi.org/10.1109/ICASSP.2013.6637620\">10.1109/ICASSP.2013.6637620</a>.","apa":"Jacob, F., Schmalenstroeer, J., &#38; Haeb-Umbach, R. (2013). DoA-Based Microphone Array Position Self-Calibration Using Circular Statistic. <i>38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013)</i>, 116–120. <a href=\"https://doi.org/10.1109/ICASSP.2013.6637620\">https://doi.org/10.1109/ICASSP.2013.6637620</a>","bibtex":"@inproceedings{Jacob_Schmalenstroeer_Haeb-Umbach_2013, title={DoA-Based Microphone Array Position Self-Calibration Using Circular Statistic}, DOI={<a href=\"https://doi.org/10.1109/ICASSP.2013.6637620\">10.1109/ICASSP.2013.6637620</a>}, 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} }","ama":"Jacob F, Schmalenstroeer J, Haeb-Umbach R. DoA-Based Microphone Array Position Self-Calibration Using Circular Statistic. In: <i>38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013)</i>. ; 2013:116-120. doi:<a href=\"https://doi.org/10.1109/ICASSP.2013.6637620\">10.1109/ICASSP.2013.6637620</a>","mla":"Jacob, Florian, et al. “DoA-Based Microphone Array Position Self-Calibration Using Circular Statistic.” <i>38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013)</i>, 2013, pp. 116–20, doi:<a href=\"https://doi.org/10.1109/ICASSP.2013.6637620\">10.1109/ICASSP.2013.6637620</a>."},"quality_controlled":"1","_id":"11832","page":"116-120","user_id":"460","status":"public","date_created":"2019-07-12T05:29:07Z","department":[{"_id":"54"}],"keyword":["Geometry calibration","microphone arrays","position self-calibration"],"type":"conference","publication":"38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013)","related_material":{"link":[{"relation":"supplementary_material","url":"https://groups.uni-paderborn.de/nt/pubs/2013/JaScHa13_Presentation.pdf","description":"Presentation"}]},"abstract":[{"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.","lang":"eng"}],"language":[{"iso":"eng"}],"main_file_link":[{"url":"https://groups.uni-paderborn.de/nt/pubs/2013/JacSchHae_ICASSP2013_Rev2.pdf","open_access":"1"}],"doi":"10.1109/ICASSP.2013.6637620","publication_identifier":{"issn":["1520-6149"]},"author":[{"full_name":"Jacob, Florian","last_name":"Jacob","first_name":"Florian"},{"id":"460","last_name":"Schmalenstroeer","first_name":"Joerg","full_name":"Schmalenstroeer, Joerg"},{"first_name":"Reinhold","last_name":"Haeb-Umbach","full_name":"Haeb-Umbach, Reinhold","id":"242"}],"year":"2013","title":"DoA-Based Microphone Array Position Self-Calibration Using Circular Statistic","date_updated":"2023-10-26T08:11:12Z"},{"language":[{"iso":"eng"}],"_id":"11833","main_file_link":[{"open_access":"1","url":"https://groups.uni-paderborn.de/nt/pubs/2012/JaScHa12.pdf"}],"user_id":"460","author":[{"last_name":"Jacob","first_name":"Florian","full_name":"Jacob, Florian"},{"id":"460","last_name":"Schmalenstroeer","first_name":"Joerg","full_name":"Schmalenstroeer, Joerg"},{"id":"242","full_name":"Haeb-Umbach, Reinhold","first_name":"Reinhold","last_name":"Haeb-Umbach"}],"year":"2012","status":"public","title":"Microphone Array Position Self-Calibration from Reverberant Speech Input","date_updated":"2023-10-26T08:10:52Z","date_created":"2019-07-12T05:29:08Z","department":[{"_id":"54"}],"oa":"1","keyword":["Unsupervised","geometry calibration","microphone arrays","position self-calibration"],"type":"conference","citation":{"ama":"Jacob F, Schmalenstroeer J, Haeb-Umbach R. Microphone Array Position Self-Calibration from Reverberant Speech Input. In: <i>International Workshop on Acoustic Signal Enhancement (IWAENC 2012)</i>. ; 2012.","bibtex":"@inproceedings{Jacob_Schmalenstroeer_Haeb-Umbach_2012, title={Microphone Array Position Self-Calibration from Reverberant Speech Input}, booktitle={International Workshop on Acoustic Signal Enhancement (IWAENC 2012)}, author={Jacob, Florian and Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}, year={2012} }","mla":"Jacob, Florian, et al. “Microphone Array Position Self-Calibration from Reverberant Speech Input.” <i>International Workshop on Acoustic Signal Enhancement (IWAENC 2012)</i>, 2012.","chicago":"Jacob, Florian, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. “Microphone Array Position Self-Calibration from Reverberant Speech Input.” In <i>International Workshop on Acoustic Signal Enhancement (IWAENC 2012)</i>, 2012.","short":"F. Jacob, J. Schmalenstroeer, R. Haeb-Umbach, in: International Workshop on Acoustic Signal Enhancement (IWAENC 2012), 2012.","apa":"Jacob, F., Schmalenstroeer, J., &#38; Haeb-Umbach, R. (2012). Microphone Array Position Self-Calibration from Reverberant Speech Input. <i>International Workshop on Acoustic Signal Enhancement (IWAENC 2012)</i>.","ieee":"F. Jacob, J. Schmalenstroeer, and R. Haeb-Umbach, “Microphone Array Position Self-Calibration from Reverberant Speech Input,” 2012."},"publication":"International Workshop on Acoustic Signal Enhancement (IWAENC 2012)","quality_controlled":"1","related_material":{"link":[{"description":"Video","relation":"supplementary_material","url":"https://groups.uni-paderborn.de/nt/pubs/2012/Microphine_Array_Position_Self-Calibration_from_Reverberant_Speech_Input.mp4"},{"url":"https://groups.uni-paderborn.de/nt/pubs/2012/JaScHa12_Poster.pdf","relation":"supplementary_material","description":"Poster"},{"description":"Demonstrator","relation":"supplementary_material","url":"https://groups.uni-paderborn.de/nt/pubs/2012/JaScHa12_Demonstrator.pdf"}]},"abstract":[{"lang":"eng","text":"In this paper we propose an approach to retrieve the geometry of an acoustic sensor network consisting of spatially distributed microphone arrays from unconstrained speech input. The calibration relies on Direction of Arrival (DoA) measurements which do not require a clock synchronization among the sensor nodes. The calibration problem is formulated as a cost function optimization task, which minimizes the squared differences between measured and predicted observations and additionally avoids the existence of minima that correspond to mirrored versions of the actual sensor orientations. Further, outlier measurements caused by reverberation are mitigated by a Random Sample Consensus (RANSAC) approach. The experimental results show a mean positioning error of at most 25 cm even in highly reverberant environments."}]}]