--- _id: '11832' 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. author: - first_name: Florian full_name: Jacob, Florian last_name: Jacob - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: 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' 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 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} }' 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. 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. short: 'F. Jacob, J. Schmalenstroeer, R. Haeb-Umbach, in: 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), 2013, pp. 116–120.' date_created: 2019-07-12T05:29:07Z date_updated: 2023-10-26T08:11:12Z department: - _id: '54' doi: 10.1109/ICASSP.2013.6637620 keyword: - Geometry calibration - microphone arrays - position self-calibration language: - iso: eng main_file_link: - open_access: '1' url: https://groups.uni-paderborn.de/nt/pubs/2013/JacSchHae_ICASSP2013_Rev2.pdf oa: '1' page: 116-120 publication: 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013) publication_identifier: issn: - 1520-6149 quality_controlled: '1' related_material: link: - description: Presentation relation: supplementary_material url: https://groups.uni-paderborn.de/nt/pubs/2013/JaScHa13_Presentation.pdf status: public title: DoA-Based Microphone Array Position Self-Calibration Using Circular Statistic type: conference user_id: '460' year: '2013' ... --- _id: '11833' 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. author: - first_name: Florian full_name: Jacob, Florian last_name: Jacob - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Jacob F, Schmalenstroeer J, Haeb-Umbach R. Microphone Array Position Self-Calibration from Reverberant Speech Input. In: International Workshop on Acoustic Signal Enhancement (IWAENC 2012). ; 2012.' apa: Jacob, F., Schmalenstroeer, J., & Haeb-Umbach, R. (2012). Microphone Array Position Self-Calibration from Reverberant Speech Input. International Workshop on Acoustic Signal Enhancement (IWAENC 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} }' chicago: Jacob, Florian, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. “Microphone Array Position Self-Calibration from Reverberant Speech Input.” In International Workshop on Acoustic Signal Enhancement (IWAENC 2012), 2012. ieee: F. Jacob, J. Schmalenstroeer, and R. Haeb-Umbach, “Microphone Array Position Self-Calibration from Reverberant Speech Input,” 2012. mla: Jacob, Florian, et al. “Microphone Array Position Self-Calibration from Reverberant Speech Input.” International Workshop on Acoustic Signal Enhancement (IWAENC 2012), 2012. short: 'F. Jacob, J. Schmalenstroeer, R. Haeb-Umbach, in: International Workshop on Acoustic Signal Enhancement (IWAENC 2012), 2012.' date_created: 2019-07-12T05:29:08Z date_updated: 2023-10-26T08:10:52Z department: - _id: '54' keyword: - Unsupervised - geometry calibration - microphone arrays - position self-calibration language: - iso: eng main_file_link: - open_access: '1' url: https://groups.uni-paderborn.de/nt/pubs/2012/JaScHa12.pdf oa: '1' 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 - description: Poster relation: supplementary_material url: https://groups.uni-paderborn.de/nt/pubs/2012/JaScHa12_Poster.pdf - description: Demonstrator relation: supplementary_material url: https://groups.uni-paderborn.de/nt/pubs/2012/JaScHa12_Demonstrator.pdf status: public title: Microphone Array Position Self-Calibration from Reverberant Speech Input type: conference user_id: '460' year: '2012' ...