--- _id: '45326' author: - first_name: Annalisa full_name: Mattei, Annalisa id: '84086' last_name: Mattei - first_name: Oxana full_name: Eremin, Oxana last_name: Eremin citation: ama: 'Mattei A, Eremin O. Corona und Krise. Perspektiven erziehungswissenschaftlicher Frauen- und Geschlechterforschung. In: Bericht zur Jahrestagung der Sektion Frauen- und Geschlechterforschung in der Erziehungswissenschaft in der Deutschen Gesellschaft für Erziehungswissenschaft. Journal Netzwerk Frauen- und Geschlechterforschung NRW Nr. 49/2021. ; 2021:87-89.' apa: Mattei, A., & Eremin, O. (2021). Corona und Krise. Perspektiven erziehungswissenschaftlicher Frauen- und Geschlechterforschung. Bericht zur Jahrestagung der Sektion Frauen- und Geschlechterforschung in der Erziehungswissenschaft in der Deutschen Gesellschaft für Erziehungswissenschaft, 87–89. bibtex: '@inproceedings{Mattei_Eremin_2021, series={Journal Netzwerk Frauen- und Geschlechterforschung NRW Nr. 49/2021}, title={Corona und Krise. Perspektiven erziehungswissenschaftlicher Frauen- und Geschlechterforschung}, booktitle={Bericht zur Jahrestagung der Sektion Frauen- und Geschlechterforschung in der Erziehungswissenschaft in der Deutschen Gesellschaft für Erziehungswissenschaft}, author={Mattei, Annalisa and Eremin, Oxana}, year={2021}, pages={87–89}, collection={Journal Netzwerk Frauen- und Geschlechterforschung NRW Nr. 49/2021} }' chicago: Mattei, Annalisa, and Oxana Eremin. “Corona und Krise. Perspektiven erziehungswissenschaftlicher Frauen- und Geschlechterforschung.” In Bericht zur Jahrestagung der Sektion Frauen- und Geschlechterforschung in der Erziehungswissenschaft in der Deutschen Gesellschaft für Erziehungswissenschaft, 87–89. Journal Netzwerk Frauen- und Geschlechterforschung NRW Nr. 49/2021, 2021. ieee: A. Mattei and O. Eremin, “Corona und Krise. Perspektiven erziehungswissenschaftlicher Frauen- und Geschlechterforschung,” in Bericht zur Jahrestagung der Sektion Frauen- und Geschlechterforschung in der Erziehungswissenschaft in der Deutschen Gesellschaft für Erziehungswissenschaft, Europa-Universität Flensburg  , 2021, pp. 87–89. mla: Mattei, Annalisa, and Oxana Eremin. “Corona und Krise. Perspektiven erziehungswissenschaftlicher Frauen- und Geschlechterforschung.” Bericht zur Jahrestagung der Sektion Frauen- und Geschlechterforschung in der Erziehungswissenschaft in der Deutschen Gesellschaft für Erziehungswissenschaft, 2021, pp. 87–89. short: 'A. Mattei, O. Eremin, in: Bericht zur Jahrestagung der Sektion Frauen- und Geschlechterforschung in der Erziehungswissenschaft in der Deutschen Gesellschaft für Erziehungswissenschaft, 2021, pp. 87–89.' conference: location: 'Europa-Universität Flensburg ' name: Bericht zur Jahrestagung der Sektion Frauen- und Geschlechterforschung in der Erziehungswissenschaft in der Deutschen Gesellschaft für Erziehungswissenschaft am 04., 12. und 26. März date_created: 2023-05-29T17:04:22Z date_updated: 2023-06-20T19:44:58Z department: - _id: '405' language: - iso: ger main_file_link: - open_access: '1' url: https://www.netzwerk-fgf.nrw.de/fileadmin/media/media-fgf/download/publikationen/netzwerk_fgf_journal_49_f_web.pdf oa: '1' page: 87-89 publication: Bericht zur Jahrestagung der Sektion Frauen- und Geschlechterforschung in der Erziehungswissenschaft in der Deutschen Gesellschaft für Erziehungswissenschaft publication_status: published series_title: Journal Netzwerk Frauen- und Geschlechterforschung NRW Nr. 49/2021 status: public title: Corona und Krise. Perspektiven erziehungswissenschaftlicher Frauen- und Geschlechterforschung type: conference user_id: '49063' year: '2021' ... --- _id: '45319' author: - first_name: Susanne Jutta full_name: Schemmer, Susanne Jutta id: '63477' last_name: Schemmer - first_name: Dietmar full_name: Heisler, Dietmar last_name: Heisler - first_name: Julia full_name: Rink, Julia last_name: Rink citation: ama: 'Schemmer SJ, Heisler D, Rink J. Entwicklungschance oder Warteschleife? Berufsorientierung und Berufswahl in der Berufsfachschule. In: Weyland U, Ziegler B, Driesel-Lange K, Kruse A, eds. Entwicklungen und Perspektiven in der Berufsorientierung. Stand und Herausforderungen. Online: (06.12.2021). Verlag Barbara Budrich; 2021:60-78.' apa: 'Schemmer, S. J., Heisler, D., & Rink, J. (2021). Entwicklungschance oder Warteschleife? Berufsorientierung und Berufswahl in der Berufsfachschule. In U. Weyland, B. Ziegler, K. Driesel-Lange, & A. Kruse (Eds.), Entwicklungen und Perspektiven in der Berufsorientierung. Stand und Herausforderungen. Online: (06.12.2021) (pp. 60–78). Verlag Barbara Budrich.' bibtex: '@inbook{Schemmer_Heisler_Rink_2021, place={Bonn}, title={Entwicklungschance oder Warteschleife? Berufsorientierung und Berufswahl in der Berufsfachschule}, booktitle={Entwicklungen und Perspektiven in der Berufsorientierung. Stand und Herausforderungen. Online: (06.12.2021)}, publisher={Verlag Barbara Budrich}, author={Schemmer, Susanne Jutta and Heisler, Dietmar and Rink, Julia}, editor={Weyland, Ulrike and Ziegler, Birgit and Driesel-Lange, Katja and Kruse, Annika}, year={2021}, pages={60–78} }' chicago: 'Schemmer, Susanne Jutta, Dietmar Heisler, and Julia Rink. “Entwicklungschance oder Warteschleife? Berufsorientierung und Berufswahl in der Berufsfachschule.” In Entwicklungen und Perspektiven in der Berufsorientierung. Stand und Herausforderungen. Online: (06.12.2021), edited by Ulrike Weyland, Birgit Ziegler, Katja Driesel-Lange, and Annika Kruse, 60–78. Bonn: Verlag Barbara Budrich, 2021.' ieee: 'S. J. Schemmer, D. Heisler, and J. Rink, “Entwicklungschance oder Warteschleife? Berufsorientierung und Berufswahl in der Berufsfachschule,” in Entwicklungen und Perspektiven in der Berufsorientierung. Stand und Herausforderungen. Online: (06.12.2021), U. Weyland, B. Ziegler, K. Driesel-Lange, and A. Kruse, Eds. Bonn: Verlag Barbara Budrich, 2021, pp. 60–78.' mla: 'Schemmer, Susanne Jutta, et al. “Entwicklungschance oder Warteschleife? Berufsorientierung und Berufswahl in der Berufsfachschule.” Entwicklungen und Perspektiven in der Berufsorientierung. Stand und Herausforderungen. Online: (06.12.2021), edited by Ulrike Weyland et al., Verlag Barbara Budrich, 2021, pp. 60–78.' short: 'S.J. Schemmer, D. Heisler, J. Rink, in: U. Weyland, B. Ziegler, K. Driesel-Lange, A. Kruse (Eds.), Entwicklungen und Perspektiven in der Berufsorientierung. Stand und Herausforderungen. Online: (06.12.2021), Verlag Barbara Budrich, Bonn, 2021, pp. 60–78.' date_created: 2023-05-29T16:48:44Z date_updated: 2023-06-20T19:48:47Z department: - _id: '451' editor: - first_name: Ulrike full_name: Weyland, Ulrike last_name: Weyland - first_name: Birgit full_name: Ziegler, Birgit last_name: Ziegler - first_name: Katja full_name: Driesel-Lange, Katja last_name: Driesel-Lange - first_name: Annika full_name: Kruse, Annika last_name: Kruse language: - iso: ger main_file_link: - open_access: '1' url: https://www.agbfn.de/dokumente/pdf/AGBFN_Weyland_et_al_Berufsorientierung.pdf oa: '1' page: 60-78 place: Bonn publication: 'Entwicklungen und Perspektiven in der Berufsorientierung. Stand und Herausforderungen. Online: (06.12.2021)' publication_status: published publisher: Verlag Barbara Budrich status: public title: Entwicklungschance oder Warteschleife? Berufsorientierung und Berufswahl in der Berufsfachschule type: book_chapter user_id: '49063' year: '2021' ... --- _id: '46194' author: - first_name: Tobias full_name: Kenter, Tobias id: '3145' last_name: Kenter - first_name: Adesh full_name: Shambhu, Adesh last_name: Shambhu - first_name: Sara full_name: Faghih-Naini, Sara last_name: Faghih-Naini - first_name: Vadym full_name: Aizinger, Vadym last_name: Aizinger citation: ama: 'Kenter T, Shambhu A, Faghih-Naini S, Aizinger V. Algorithm-hardware co-design of a discontinuous Galerkin shallow-water model for a dataflow architecture on FPGA. In: Proceedings of the Platform for Advanced Scientific Computing Conference. ACM; 2021. doi:10.1145/3468267.3470617' apa: Kenter, T., Shambhu, A., Faghih-Naini, S., & Aizinger, V. (2021). Algorithm-hardware co-design of a discontinuous Galerkin shallow-water model for a dataflow architecture on FPGA. Proceedings of the Platform for Advanced Scientific Computing Conference. https://doi.org/10.1145/3468267.3470617 bibtex: '@inproceedings{Kenter_Shambhu_Faghih-Naini_Aizinger_2021, title={Algorithm-hardware co-design of a discontinuous Galerkin shallow-water model for a dataflow architecture on FPGA}, DOI={10.1145/3468267.3470617}, booktitle={Proceedings of the Platform for Advanced Scientific Computing Conference}, publisher={ACM}, author={Kenter, Tobias and Shambhu, Adesh and Faghih-Naini, Sara and Aizinger, Vadym}, year={2021} }' chicago: Kenter, Tobias, Adesh Shambhu, Sara Faghih-Naini, and Vadym Aizinger. “Algorithm-Hardware Co-Design of a Discontinuous Galerkin Shallow-Water Model for a Dataflow Architecture on FPGA.” In Proceedings of the Platform for Advanced Scientific Computing Conference. ACM, 2021. https://doi.org/10.1145/3468267.3470617. ieee: 'T. Kenter, A. Shambhu, S. Faghih-Naini, and V. Aizinger, “Algorithm-hardware co-design of a discontinuous Galerkin shallow-water model for a dataflow architecture on FPGA,” 2021, doi: 10.1145/3468267.3470617.' mla: Kenter, Tobias, et al. “Algorithm-Hardware Co-Design of a Discontinuous Galerkin Shallow-Water Model for a Dataflow Architecture on FPGA.” Proceedings of the Platform for Advanced Scientific Computing Conference, ACM, 2021, doi:10.1145/3468267.3470617. short: 'T. Kenter, A. Shambhu, S. Faghih-Naini, V. Aizinger, in: Proceedings of the Platform for Advanced Scientific Computing Conference, ACM, 2021.' date_created: 2023-07-28T11:58:14Z date_updated: 2023-07-28T12:03:19Z department: - _id: '27' - _id: '518' doi: 10.1145/3468267.3470617 language: - iso: eng main_file_link: - open_access: '1' url: https://dl.acm.org/doi/pdf/10.1145/3468267.3470617 oa: '1' project: - _id: '52' name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing' publication: Proceedings of the Platform for Advanced Scientific Computing Conference publication_status: published publisher: ACM quality_controlled: '1' status: public title: Algorithm-hardware co-design of a discontinuous Galerkin shallow-water model for a dataflow architecture on FPGA type: conference user_id: '3145' year: '2021' ... --- _id: '46613' abstract: - lang: eng text: Trotz massiver Förderungen für die Digitalisierung ist die Präsenzlehre noch immer der Standard an deutschen Hochschulen. Aufgrund des Physical Distancing im Zuge der Corona-Pandemie musste sie jedoch kurzfristig fast vollständig digitalisiert werden. Die Beiträge des Bandes bieten einen multiperspektivischen Zugang zu den damit verbundenen Herausforderungen und beleuchten, wie die verschiedenen Akteur*innen die Umstellung auf digitale Lehr- und Lernformate umgesetzt und erlebt haben. Durch die Zusammenführung der verschiedenen Sichtweisen können die Bedarfe und Wünsche der einzelnen Akteursgruppen zusammengebracht und bei der nachhaltigen Weiterentwicklung der Hochschullehre besser berücksichtigt werden. alternative_title: - Ein multiperspektivischer Zugang zur digitalen Lehre citation: ama: Neiske I, Osthushenrich J, Schaper N, Trier U, Vöing N, eds. Hochschule auf Abstand. transcript Verlag; 2021. doi:10.14361/9783839456903 apa: Neiske, I., Osthushenrich, J., Schaper, N., Trier, U., & Vöing, N. (Eds.). (2021). Hochschule auf Abstand. transcript Verlag. https://doi.org/10.14361/9783839456903 bibtex: '@book{Neiske_Osthushenrich_Schaper_Trier_Vöing_2021, place={Bielefeld, Germany}, title={Hochschule auf Abstand}, DOI={10.14361/9783839456903}, publisher={transcript Verlag}, year={2021} }' chicago: 'Neiske, Iris, Judith Osthushenrich, Niclas Schaper, Ulrike Trier, and Nerea Vöing, eds. Hochschule auf Abstand. Bielefeld, Germany: transcript Verlag, 2021. https://doi.org/10.14361/9783839456903.' ieee: 'I. Neiske, J. Osthushenrich, N. Schaper, U. Trier, and N. Vöing, Eds., Hochschule auf Abstand. Bielefeld, Germany: transcript Verlag, 2021.' mla: Neiske, Iris, et al., editors. Hochschule auf Abstand. transcript Verlag, 2021, doi:10.14361/9783839456903. short: I. Neiske, J. Osthushenrich, N. Schaper, U. Trier, N. Vöing, eds., Hochschule auf Abstand, transcript Verlag, Bielefeld, Germany, 2021. date_created: 2023-08-22T09:23:22Z date_updated: 2023-09-01T08:11:37Z department: - _id: '544' doi: 10.14361/9783839456903 editor: - first_name: Iris full_name: Neiske, Iris id: '53827' last_name: Neiske - first_name: Judith full_name: Osthushenrich, Judith id: '12360' last_name: Osthushenrich - first_name: Niclas full_name: Schaper, Niclas last_name: Schaper - first_name: Ulrike full_name: Trier, Ulrike id: '82117' last_name: Trier - first_name: Nerea full_name: Vöing, Nerea id: '5054' last_name: Vöing language: - iso: ger main_file_link: - open_access: '1' url: https://www.transcript-verlag.de/978-3-8376-5690-9/hochschule-auf-abstand/?number=978-3-8394-5690-3 oa: '1' place: Bielefeld, Germany publication_identifier: isbn: - '9783837656909' - '9783839456903' issn: - 2749-7623 - 2749-7631 publication_status: published publisher: transcript Verlag status: public title: Hochschule auf Abstand type: book_editor user_id: '12360' year: '2021' ... --- _id: '22724' abstract: - lang: eng text: "\r\nPredictive Maintenance as a desirable maintenance strategy in industrial applications relies on suitable condition monitoring solutions to reduce costs and risks of the monitored technical systems. In general, those solutions utilize model-based or data-driven methods to diagnose the current state or predict future states of monitored technical systems. However, both methods have their advantages and drawbacks. Combining both methods can improve uncertainty consideration and accuracy. Different combination approaches of those hybrid methods exist to exploit synergy effects. The choice of an appropriate approach depends on different requirements and the goal behind the selection of a hybrid approach.\r\n\r\n \r\n\r\nIn this work, the hybrid approach for estimating remaining useful lifetime takes potential uncertainties into account. Therefore, a data-driven estimation of new measurements is integrated within a model-based method. To consider uncertainties within the system, a differentiation between different system behavior is realized throughout diverse states of degradation.\r\n\r\nThe developed hybrid prediction approach bases on a particle filtering method combined with a machine learning method, to estimate the remaining useful lifetime of technical systems. Particle filtering as a Monte Carlo simulation technique is suitable to map and propagate uncertainties. Moreover, it is a state-of-the-art model-based method for predicting remaining useful lifetime of technical systems. To integrate uncertainties a multi-model particle filtering approach is employed. In general, resampling as a part of the particle filtering approach has the potential to lead to an accurate prediction. However, in the case where no future measurements are available, it may increase the uncertainty of the prediction. By estimating new measurements, those uncertainties are reduced within the data-driven part of the approach. Hence, both parts of the hybrid approach strive to account for and reduce uncertainties.\r\n\r\n \r\n\r\nRubber-metal-elements are employed as a use-case to evaluate the developed approach. Rubber-metal-elements, which are used to isolate vibrations in various systems, such as railways, trucks and wind turbines, show various uncertainties in their behavior and their degradation. Those uncertainties are caused by diverse inner and outer factors, such as manufacturing influences and operating conditions. By expert knowledge the influences are described, analyzed and if possible reduced. However, the remaining uncertainties are considered within the hybrid prediction method. Relative temperature is the selected measurand to describe the element’s degradation. In lifetime tests, it is measured as the difference between the element’s temperature and the ambient temperature. Thereby, the influence of the ambient temperature on the element’s temperature is taken into account. Those elements show three typical states of degradation that are identified within the temperature measurements. Depending on the particular state of degradation a new measurement is estimated within the hybrid approach to reduce potential uncertainties.\r\n\r\nFinally, the performance of the developed hybrid method is compared to a model-based method for estimating the remaining useful lifetime of the same elements. Suitable performance indices are implemented to underline the differences between the results." author: - first_name: Amelie full_name: Bender, Amelie id: '54290' last_name: Bender - first_name: Walter full_name: Sextro, Walter id: '21220' last_name: Sextro citation: ama: 'Bender A, Sextro W. Hybrid Prediction Method for Remaining Useful Lifetime Estimation Considering Uncertainties. In: Do P, King S, Fink Olga, eds. Proceedings of the European Conference of the PHM Society 2021. Vol 6. ; 2021. doi:https://doi.org/10.36001/phme.2021.v6i1.2843 ' apa: Bender, A., & Sextro, W. (2021). Hybrid Prediction Method for Remaining Useful Lifetime Estimation Considering Uncertainties. In P. Do, S. King, & Olga Fink (Eds.), Proceedings of the European Conference of the PHM Society 2021 (Vol. 6, Issue 1). https://doi.org/10.36001/phme.2021.v6i1.2843 bibtex: '@inproceedings{Bender_Sextro_2021, title={Hybrid Prediction Method for Remaining Useful Lifetime Estimation Considering Uncertainties}, volume={6}, DOI={https://doi.org/10.36001/phme.2021.v6i1.2843 }, number={1}, booktitle={Proceedings of the European Conference of the PHM Society 2021}, author={Bender, Amelie and Sextro, Walter}, editor={Do, Phuc and King, Steve and Fink, Olga}, year={2021} }' chicago: Bender, Amelie, and Walter Sextro. “Hybrid Prediction Method for Remaining Useful Lifetime Estimation Considering Uncertainties.” In Proceedings of the European Conference of the PHM Society 2021, edited by Phuc Do, Steve King, and Olga Fink, Vol. 6, 2021. https://doi.org/10.36001/phme.2021.v6i1.2843 . ieee: 'A. Bender and W. Sextro, “Hybrid Prediction Method for Remaining Useful Lifetime Estimation Considering Uncertainties,” in Proceedings of the European Conference of the PHM Society 2021, 2021, vol. 6, no. 1, doi: https://doi.org/10.36001/phme.2021.v6i1.2843 .' mla: Bender, Amelie, and Walter Sextro. “Hybrid Prediction Method for Remaining Useful Lifetime Estimation Considering Uncertainties.” Proceedings of the European Conference of the PHM Society 2021, edited by Phuc Do et al., vol. 6, no. 1, 2021, doi:https://doi.org/10.36001/phme.2021.v6i1.2843 . short: 'A. Bender, W. Sextro, in: P. Do, S. King, Olga Fink (Eds.), Proceedings of the European Conference of the PHM Society 2021, 2021.' conference: end_date: 2021-07-02 name: 6th European Conference of Prognostics and Health Management start_date: 2021-06-28 date_created: 2021-07-14T06:29:08Z date_updated: 2023-09-22T07:19:48Z department: - _id: '151' doi: 'https://doi.org/10.36001/phme.2021.v6i1.2843 ' editor: - first_name: 'Phuc ' full_name: 'Do, Phuc ' last_name: Do - first_name: Steve full_name: King, Steve last_name: King - first_name: ' Olga' full_name: Fink, Olga last_name: Fink intvolume: ' 6' issue: '1' keyword: - Hybrid prediction method - Multi-model particle filtering - Uncertainty quantification - RUL estimation language: - iso: eng main_file_link: - open_access: '1' url: https://papers.phmsociety.org/index.php/phme/article/view/2843 oa: '1' publication: Proceedings of the European Conference of the PHM Society 2021 publication_identifier: unknown: - 978-1-936263-34-9 publication_status: published quality_controlled: '1' status: public title: Hybrid Prediction Method for Remaining Useful Lifetime Estimation Considering Uncertainties type: conference user_id: '54290' volume: 6 year: '2021' ... --- _id: '22507' abstract: - lang: eng text: Several methods, including order analysis, wavelet analysis and empirical mode decomposition have been proposed and successfully employed for the health state estimation of technical systems operating under varying conditions. However, where information such as the speed of rotating machinery, component specifications or other domain-specific information is unavailable, such methods are often infeasible. Thus, this paper investigates the application of classical time-domain features, features from the medical field and novel features from the highly comparative time-series analysis (HCTSA) package, for the health state estimation of rotating machinery operating under varying conditions. Furthermore, several feature selection methods are investigated to identify features as viable health indicators for the diagnostics and prognostics of technical systems. As a case study, the presented methods are evaluated on real-world and experimentally acquired vibration data of bearings operating under varying speed. The results show that the selected features can successfully be employed as health indicators for technical systems operating under varying conditions. author: - first_name: Osarenren Kennedy full_name: Aimiyekagbon, Osarenren Kennedy id: '9557' last_name: Aimiyekagbon - first_name: Amelie full_name: Bender, Amelie id: '54290' last_name: Bender - first_name: Walter full_name: Sextro, Walter id: '21220' last_name: Sextro citation: ama: 'Aimiyekagbon OK, Bender A, Sextro W. On the applicability of time series features as health indicators for technical systems operating under varying conditions. In: Proceedings of the Seventeenth International Conference on Condition Monitoring and Asset Management (CM 2021).' apa: Aimiyekagbon, O. K., Bender, A., & Sextro, W. (n.d.). On the applicability of time series features as health indicators for technical systems operating under varying conditions. Proceedings of the Seventeenth International Conference on Condition Monitoring and Asset Management (CM 2021). Seventeenth International Conference on Condition Monitoring and Asset Management (CM 2021). bibtex: '@inproceedings{Aimiyekagbon_Bender_Sextro, title={On the applicability of time series features as health indicators for technical systems operating under varying conditions}, booktitle={Proceedings of the Seventeenth International Conference on Condition Monitoring and Asset Management (CM 2021)}, author={Aimiyekagbon, Osarenren Kennedy and Bender, Amelie and Sextro, Walter} }' chicago: Aimiyekagbon, Osarenren Kennedy, Amelie Bender, and Walter Sextro. “On the Applicability of Time Series Features as Health Indicators for Technical Systems Operating under Varying Conditions.” In Proceedings of the Seventeenth International Conference on Condition Monitoring and Asset Management (CM 2021), n.d. ieee: O. K. Aimiyekagbon, A. Bender, and W. Sextro, “On the applicability of time series features as health indicators for technical systems operating under varying conditions,” presented at the Seventeenth International Conference on Condition Monitoring and Asset Management (CM 2021). mla: Aimiyekagbon, Osarenren Kennedy, et al. “On the Applicability of Time Series Features as Health Indicators for Technical Systems Operating under Varying Conditions.” Proceedings of the Seventeenth International Conference on Condition Monitoring and Asset Management (CM 2021). short: 'O.K. Aimiyekagbon, A. Bender, W. Sextro, in: Proceedings of the Seventeenth International Conference on Condition Monitoring and Asset Management (CM 2021), n.d.' conference: end_date: 2021-06-18 name: Seventeenth International Conference on Condition Monitoring and Asset Management (CM 2021) start_date: 2021-06-14 date_created: 2021-06-23T05:24:39Z date_updated: 2023-09-22T08:10:34Z ddc: - '620' department: - _id: '151' file: - access_level: open_access content_type: application/pdf creator: kennedy date_created: 2021-06-23T06:43:44Z date_updated: 2021-06-23T06:50:07Z description: 'This is a post-print version of the article presented at the Seventeenth International Con-ference on Condition Monitoring and Asset Management (CM 2021). The event websiteis available at: https://www.bindt.org/events/CM-2021/ and the abstract is available at:https://www.bindt.org/events/CM-2021/abstract-9a7/.' file_id: '22508' file_name: Aimiyekagbon_et_al_2021_On_the_applicability_of_time_series_features_as_health_indicators_postPrint.pdf file_size: 1875572 relation: main_file title: On the applicability of time series features as health indicators for technical systems operating under varying conditions file_date_updated: 2021-06-23T06:50:07Z has_accepted_license: '1' keyword: - Wind turbine diagnostics - bearing diagnostics - non-stationary operating conditions - varying operating conditions - feature extraction - feature selection - fault detection - failure detection language: - iso: eng oa: '1' publication: Proceedings of the Seventeenth International Conference on Condition Monitoring and Asset Management (CM 2021) publication_status: inpress quality_controlled: '1' status: public title: On the applicability of time series features as health indicators for technical systems operating under varying conditions type: conference user_id: '9557' year: '2021' ... --- _id: '27111' abstract: - lang: eng text: In the industry 4.0 era, there is a growing need to transform unstructured data acquired by a multitude of sources into information and subsequently into knowledge to improve the quality of manufactured products, to boost production, for predictive maintenance, etc. Data-driven approaches, such as machine learning techniques, are typically employed to model the underlying relationship from data. However, an increase in model accuracy with state-of-the-art methods, such as deep convolutional neural networks, results in less interpretability and transparency. Due to the ease of implementation, interpretation and transparency to both domain experts and non-experts, a rule-based method is proposed in this paper, for prognostics and health management (PHM) and specifically for diagnostics. The proposed method utilizes the most relevant sensor signals acquired via feature extraction and selection techniques and expert knowledge. As a case study, the presented method is evaluated on data from a real-world quality control set-up provided by the European prognostics and health management society (PHME) at the conference’s 2021 data challenge. With the proposed method, our team took the third place, capable of successfully diagnosing different fault modes, irrespective of varying conditions. author: - first_name: Osarenren Kennedy full_name: Aimiyekagbon, Osarenren Kennedy id: '9557' last_name: Aimiyekagbon - first_name: Lars full_name: Muth, Lars id: '77313' last_name: Muth orcid: 0000-0002-2938-5616 - first_name: Meike Claudia full_name: Wohlleben, Meike Claudia id: '43991' last_name: Wohlleben orcid: 0009-0009-9767-7168 - first_name: Amelie full_name: Bender, Amelie id: '54290' last_name: Bender - first_name: Walter full_name: Sextro, Walter id: '21220' last_name: Sextro citation: ama: 'Aimiyekagbon OK, Muth L, Wohlleben MC, Bender A, Sextro W. Rule-based Diagnostics of a Production Line. In: Do P, King S, Fink O, eds. Proceedings of the European Conference of the PHM Society 2021. Vol 6. ; 2021:527-536. doi:10.36001/phme.2021.v6i1.3042' apa: Aimiyekagbon, O. K., Muth, L., Wohlleben, M. C., Bender, A., & Sextro, W. (2021). Rule-based Diagnostics of a Production Line. In P. Do, S. King, & O. Fink (Eds.), Proceedings of the European Conference of the PHM Society 2021 (Vol. 6, Issue 1, pp. 527–536). https://doi.org/10.36001/phme.2021.v6i1.3042 bibtex: '@inproceedings{Aimiyekagbon_Muth_Wohlleben_Bender_Sextro_2021, title={Rule-based Diagnostics of a Production Line}, volume={6}, DOI={10.36001/phme.2021.v6i1.3042}, number={1}, booktitle={Proceedings of the European Conference of the PHM Society 2021}, author={Aimiyekagbon, Osarenren Kennedy and Muth, Lars and Wohlleben, Meike Claudia and Bender, Amelie and Sextro, Walter}, editor={Do, Phuc and King, Steve and Fink, Olga}, year={2021}, pages={527–536} }' chicago: Aimiyekagbon, Osarenren Kennedy, Lars Muth, Meike Claudia Wohlleben, Amelie Bender, and Walter Sextro. “Rule-Based Diagnostics of a Production Line.” In Proceedings of the European Conference of the PHM Society 2021, edited by Phuc Do, Steve King, and Olga Fink, 6:527–36, 2021. https://doi.org/10.36001/phme.2021.v6i1.3042. ieee: 'O. K. Aimiyekagbon, L. Muth, M. C. Wohlleben, A. Bender, and W. Sextro, “Rule-based Diagnostics of a Production Line,” in Proceedings of the European Conference of the PHM Society 2021, 2021, vol. 6, no. 1, pp. 527–536, doi: 10.36001/phme.2021.v6i1.3042.' mla: Aimiyekagbon, Osarenren Kennedy, et al. “Rule-Based Diagnostics of a Production Line.” Proceedings of the European Conference of the PHM Society 2021, edited by Phuc Do et al., vol. 6, no. 1, 2021, pp. 527–36, doi:10.36001/phme.2021.v6i1.3042. short: 'O.K. Aimiyekagbon, L. Muth, M.C. Wohlleben, A. Bender, W. Sextro, in: P. Do, S. King, O. Fink (Eds.), Proceedings of the European Conference of the PHM Society 2021, 2021, pp. 527–536.' conference: name: PHM Society European Conference date_created: 2021-11-03T12:26:39Z date_updated: 2023-09-22T09:13:01Z department: - _id: '151' doi: 10.36001/phme.2021.v6i1.3042 editor: - first_name: Phuc full_name: Do, Phuc last_name: Do - first_name: Steve full_name: King, Steve last_name: King - first_name: Olga full_name: Fink, Olga last_name: Fink intvolume: ' 6' issue: '1' keyword: - PHME 2021 - Feature Selection Classification - Feature Selection Clustering - Interpretable Model - Transparent Model - Industry 4.0 - Real-World Diagnostics - Quality Control - Predictive Maintenance language: - iso: eng main_file_link: - open_access: '1' url: http://papers.phmsociety.org/index.php/phme/article/download/3042/1812 oa: '1' page: 527-536 publication: Proceedings of the European Conference of the PHM Society 2021 publication_status: published quality_controlled: '1' status: public title: Rule-based Diagnostics of a Production Line type: conference user_id: '9557' volume: 6 year: '2021' ... --- _id: '24788' author: - first_name: Samer full_name: Alhaddad, Samer id: '42456' last_name: Alhaddad - first_name: Jens full_name: Förstner, Jens id: '158' last_name: Förstner orcid: 0000-0001-7059-9862 - first_name: Stefan full_name: Groth, Stefan last_name: Groth - first_name: Daniel full_name: Grünewald, Daniel last_name: Grünewald - first_name: Yevgen full_name: Grynko, Yevgen id: '26059' last_name: Grynko - first_name: Frank full_name: Hannig, Frank last_name: Hannig - first_name: Tobias full_name: Kenter, Tobias id: '3145' last_name: Kenter - first_name: Franz‐Josef full_name: Pfreundt, Franz‐Josef last_name: Pfreundt - first_name: Christian full_name: Plessl, Christian id: '16153' last_name: Plessl orcid: 0000-0001-5728-9982 - first_name: Merlind full_name: Schotte, Merlind last_name: Schotte - first_name: Thomas full_name: Steinke, Thomas last_name: Steinke - first_name: Jürgen full_name: Teich, Jürgen last_name: Teich - first_name: Martin full_name: Weiser, Martin last_name: Weiser - first_name: Florian full_name: Wende, Florian last_name: Wende citation: ama: 'Alhaddad S, Förstner J, Groth S, et al. The HighPerMeshes framework for numerical algorithms on unstructured grids. Concurrency and Computation: Practice and Experience. Published online 2021:e6616. doi:10.1002/cpe.6616' apa: 'Alhaddad, S., Förstner, J., Groth, S., Grünewald, D., Grynko, Y., Hannig, F., Kenter, T., Pfreundt, F., Plessl, C., Schotte, M., Steinke, T., Teich, J., Weiser, M., & Wende, F. (2021). The HighPerMeshes framework for numerical algorithms on unstructured grids. Concurrency and Computation: Practice and Experience, e6616. https://doi.org/10.1002/cpe.6616' bibtex: '@article{Alhaddad_Förstner_Groth_Grünewald_Grynko_Hannig_Kenter_Pfreundt_Plessl_Schotte_et al._2021, title={The HighPerMeshes framework for numerical algorithms on unstructured grids}, DOI={10.1002/cpe.6616}, journal={Concurrency and Computation: Practice and Experience}, author={Alhaddad, Samer and Förstner, Jens and Groth, Stefan and Grünewald, Daniel and Grynko, Yevgen and Hannig, Frank and Kenter, Tobias and Pfreundt, Franz‐Josef and Plessl, Christian and Schotte, Merlind and et al.}, year={2021}, pages={e6616} }' chicago: 'Alhaddad, Samer, Jens Förstner, Stefan Groth, Daniel Grünewald, Yevgen Grynko, Frank Hannig, Tobias Kenter, et al. “The HighPerMeshes Framework for Numerical Algorithms on Unstructured Grids.” Concurrency and Computation: Practice and Experience, 2021, e6616. https://doi.org/10.1002/cpe.6616.' ieee: 'S. Alhaddad et al., “The HighPerMeshes framework for numerical algorithms on unstructured grids,” Concurrency and Computation: Practice and Experience, p. e6616, 2021, doi: 10.1002/cpe.6616.' mla: 'Alhaddad, Samer, et al. “The HighPerMeshes Framework for Numerical Algorithms on Unstructured Grids.” Concurrency and Computation: Practice and Experience, 2021, p. e6616, doi:10.1002/cpe.6616.' short: 'S. Alhaddad, J. Förstner, S. Groth, D. Grünewald, Y. Grynko, F. Hannig, T. Kenter, F. Pfreundt, C. Plessl, M. Schotte, T. Steinke, J. Teich, M. Weiser, F. Wende, Concurrency and Computation: Practice and Experience (2021) e6616.' date_created: 2021-09-22T06:15:50Z date_updated: 2023-09-26T11:42:19Z ddc: - '004' department: - _id: '61' - _id: '230' - _id: '27' - _id: '518' doi: 10.1002/cpe.6616 file: - access_level: open_access content_type: application/pdf creator: fossie date_created: 2021-09-22T06:19:29Z date_updated: 2021-09-22T06:19:29Z file_id: '24789' file_name: 2021-09 Alhaddad - Concurrency... - The HighPerMeshes framework for numerical algorithms on unstructured grids.pdf file_size: 2300152 relation: main_file file_date_updated: 2021-09-22T06:19:29Z has_accepted_license: '1' keyword: - tet_topic_hpc language: - iso: eng oa: '1' page: e6616 project: - _id: '52' name: Computing Resources Provided by the Paderborn Center for Parallel Computing - _id: '33' grant_number: 01|H16005A name: HighPerMeshes publication: 'Concurrency and Computation: Practice and Experience' publication_identifier: issn: - 1532-0626 - 1532-0634 publication_status: published quality_controlled: '1' status: public title: The HighPerMeshes framework for numerical algorithms on unstructured grids type: journal_article user_id: '15278' year: '2021' ... --- _id: '30961' author: - first_name: Christina full_name: Lammer, Christina id: '84580' last_name: Lammer citation: ama: 'Lammer C. Andrea Karimé: Sterne im Kopf und ein unglaublicher Plan. Köln: Peter Hammer Verlag 2021. www.kibum.de (Thomas Boyken und Jörn Brüggemann),; 2021.' apa: 'Lammer, C. (2021). Andrea Karimé: Sterne im Kopf und ein unglaublicher Plan. Köln: Peter Hammer Verlag 2021. www.kibum.de (Thomas Boyken und Jörn Brüggemann),.' bibtex: '@book{Lammer_2021, place={Oldenburg}, series={KIBUM “Wissenschaft in zehn Minuten”}, title={Andrea Karimé: Sterne im Kopf und ein unglaublicher Plan. Köln: Peter Hammer Verlag 2021}, publisher={www.kibum.de (Thomas Boyken und Jörn Brüggemann),}, author={Lammer, Christina}, year={2021}, collection={KIBUM “Wissenschaft in zehn Minuten”} }' chicago: 'Lammer, Christina. Andrea Karimé: Sterne im Kopf und ein unglaublicher Plan. Köln: Peter Hammer Verlag 2021. KIBUM “Wissenschaft in zehn Minuten.” Oldenburg: www.kibum.de (Thomas Boyken und Jörn Brüggemann), 2021.' ieee: 'C. Lammer, Andrea Karimé: Sterne im Kopf und ein unglaublicher Plan. Köln: Peter Hammer Verlag 2021. Oldenburg: www.kibum.de (Thomas Boyken und Jörn Brüggemann), 2021.' mla: 'Lammer, Christina. Andrea Karimé: Sterne im Kopf und ein unglaublicher Plan. Köln: Peter Hammer Verlag 2021. www.kibum.de (Thomas Boyken und Jörn Brüggemann), 2021.' short: 'C. Lammer, Andrea Karimé: Sterne im Kopf und ein unglaublicher Plan. Köln: Peter Hammer Verlag 2021, www.kibum.de (Thomas Boyken und Jörn Brüggemann), Oldenburg, 2021.' date_created: 2022-04-27T08:26:44Z date_updated: 2023-10-02T08:15:47Z language: - iso: ger main_file_link: - open_access: '1' url: https://www.kibum.de/documents/vidcasts/2021/transcriptions/02Christina_Lammer-Karime_Keun.pdf oa: '1' place: Oldenburg publisher: www.kibum.de (Thomas Boyken und Jörn Brüggemann), series_title: KIBUM "Wissenschaft in zehn Minuten" status: public title: 'Andrea Karimé: Sterne im Kopf und ein unglaublicher Plan. Köln: Peter Hammer Verlag 2021' type: misc user_id: '84580' year: '2021' ... --- _id: '25227' abstract: - lang: eng text: AbstractQuantum well (QW) heterostructures have been extensively used for the realization of a wide range of optical and electronic devices. Exploiting their potential for further improvement and development requires a fundamental understanding of their electronic structure. So far, the most commonly used experimental techniques for this purpose have been all-optical spectroscopy methods that, however, are generally averaging in momentum space. Additional information can be gained by angle-resolved photoelectron spectroscopy (ARPES), which measures the electronic structure with momentum resolution. Here we report on the use of extremely low-energy ARPES (photon energy ~ 7 eV) to increase depth sensitivity and access buried QW states, located at 3 nm and 6 nm below the surface of cubic-GaN/AlN and GaAs/AlGaAs heterostructures, respectively. We find that the QW states in cubic-GaN/AlN can indeed be observed, but not their energy dispersion, because of the high surface roughness. The GaAs/AlGaAs QW states, on the other hand, are buried too deep to be detected by extremely low-energy ARPES. Since the sample surface is much flatter, the ARPES spectra of the GaAs/AlGaAs show distinct features in momentum space, which can be reconducted to the band structure of the topmost surface layer of the QW structure. Our results provide important information about the samples’ properties required to perform extremely low-energy ARPES experiments on electronic states buried in semiconductor heterostructures. article_number: '19081' article_type: original author: - first_name: Mahdi full_name: Hajlaoui, Mahdi last_name: Hajlaoui - first_name: Stefano full_name: Ponzoni, Stefano last_name: Ponzoni - first_name: Michael full_name: Deppe, Michael last_name: Deppe - first_name: Tobias full_name: Henksmeier, Tobias last_name: Henksmeier - first_name: Donat Josef full_name: As, Donat Josef id: '14' last_name: As orcid: 0000-0003-1121-3565 - first_name: Dirk full_name: Reuter, Dirk id: '37763' last_name: Reuter - first_name: Thomas full_name: Zentgraf, Thomas id: '30525' last_name: Zentgraf orcid: 0000-0002-8662-1101 - first_name: Gunther full_name: Springholz, Gunther last_name: Springholz - first_name: Claus Michael full_name: Schneider, Claus Michael last_name: Schneider - first_name: Stefan full_name: Cramm, Stefan last_name: Cramm - first_name: Mirko full_name: Cinchetti, Mirko last_name: Cinchetti citation: ama: Hajlaoui M, Ponzoni S, Deppe M, et al. Extremely low-energy ARPES of quantum well states in cubic-GaN/AlN and GaAs/AlGaAs heterostructures. Scientific Reports. 2021;11. doi:10.1038/s41598-021-98569-6 apa: Hajlaoui, M., Ponzoni, S., Deppe, M., Henksmeier, T., As, D. J., Reuter, D., Zentgraf, T., Springholz, G., Schneider, C. M., Cramm, S., & Cinchetti, M. (2021). Extremely low-energy ARPES of quantum well states in cubic-GaN/AlN and GaAs/AlGaAs heterostructures. Scientific Reports, 11, Article 19081. https://doi.org/10.1038/s41598-021-98569-6 bibtex: '@article{Hajlaoui_Ponzoni_Deppe_Henksmeier_As_Reuter_Zentgraf_Springholz_Schneider_Cramm_et al._2021, title={Extremely low-energy ARPES of quantum well states in cubic-GaN/AlN and GaAs/AlGaAs heterostructures}, volume={11}, DOI={10.1038/s41598-021-98569-6}, number={19081}, journal={Scientific Reports}, author={Hajlaoui, Mahdi and Ponzoni, Stefano and Deppe, Michael and Henksmeier, Tobias and As, Donat Josef and Reuter, Dirk and Zentgraf, Thomas and Springholz, Gunther and Schneider, Claus Michael and Cramm, Stefan and et al.}, year={2021} }' chicago: Hajlaoui, Mahdi, Stefano Ponzoni, Michael Deppe, Tobias Henksmeier, Donat Josef As, Dirk Reuter, Thomas Zentgraf, et al. “Extremely Low-Energy ARPES of Quantum Well States in Cubic-GaN/AlN and GaAs/AlGaAs Heterostructures.” Scientific Reports 11 (2021). https://doi.org/10.1038/s41598-021-98569-6. ieee: 'M. Hajlaoui et al., “Extremely low-energy ARPES of quantum well states in cubic-GaN/AlN and GaAs/AlGaAs heterostructures,” Scientific Reports, vol. 11, Art. no. 19081, 2021, doi: 10.1038/s41598-021-98569-6.' mla: Hajlaoui, Mahdi, et al. “Extremely Low-Energy ARPES of Quantum Well States in Cubic-GaN/AlN and GaAs/AlGaAs Heterostructures.” Scientific Reports, vol. 11, 19081, 2021, doi:10.1038/s41598-021-98569-6. short: M. Hajlaoui, S. Ponzoni, M. Deppe, T. Henksmeier, D.J. As, D. Reuter, T. Zentgraf, G. Springholz, C.M. Schneider, S. Cramm, M. Cinchetti, Scientific Reports 11 (2021). date_created: 2021-10-01T07:29:15Z date_updated: 2023-10-09T09:15:12Z department: - _id: '15' - _id: '230' - _id: '289' doi: 10.1038/s41598-021-98569-6 intvolume: ' 11' language: - iso: eng main_file_link: - open_access: '1' url: https://www.nature.com/articles/s41598-021-98569-6 oa: '1' project: - _id: '53' grant_number: '231447078' name: TRR 142 - _id: '54' name: TRR 142 - Project Area A - _id: '65' grant_number: '231447078' name: TRR 142 - Subproject A8 - _id: '55' name: TRR 142 - Project Area B - _id: '67' name: TRR 142 - Subproject B2 - _id: '63' grant_number: '231447078' name: TRR 142 - Subproject A6 publication: Scientific Reports publication_identifier: issn: - 2045-2322 publication_status: published quality_controlled: '1' status: public title: Extremely low-energy ARPES of quantum well states in cubic-GaN/AlN and GaAs/AlGaAs heterostructures type: journal_article user_id: '14931' volume: 11 year: '2021' ... --- _id: '44843' abstract: - lang: eng text: "Unsupervised blind source separation methods do not require a training phase\r\nand thus cannot suffer from a train-test mismatch, which is a common concern in\r\nneural network based source separation. The unsupervised techniques can be\r\ncategorized in two classes, those building upon the sparsity of speech in the\r\nShort-Time Fourier transform domain and those exploiting non-Gaussianity or\r\nnon-stationarity of the source signals. In this contribution, spatial mixture\r\nmodels which fall in the first category and independent vector analysis (IVA)\r\nas a representative of the second category are compared w.r.t. their separation\r\nperformance and the performance of a downstream speech recognizer on a\r\nreverberant dataset of reasonable size. Furthermore, we introduce a serial\r\nconcatenation of the two, where the result of the mixture model serves as\r\ninitialization of IVA, which achieves significantly better WER performance than\r\neach algorithm individually and even approaches the performance of a much more\r\ncomplex neural network based technique." author: - first_name: Christoph full_name: Boeddeker, Christoph id: '40767' last_name: Boeddeker - first_name: Frederik full_name: Rautenberg, Frederik id: '72602' last_name: Rautenberg - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Boeddeker C, Rautenberg F, Haeb-Umbach R. A Comparison and Combination of Unsupervised Blind Source Separation  Techniques. In: ITG Conference on Speech Communication. ; 2021.' apa: Boeddeker, C., Rautenberg, F., & Haeb-Umbach, R. (2021). A Comparison and Combination of Unsupervised Blind Source Separation  Techniques. ITG Conference on Speech Communication. ITG Conference on Speech Communication, Kiel. bibtex: '@inproceedings{Boeddeker_Rautenberg_Haeb-Umbach_2021, title={A Comparison and Combination of Unsupervised Blind Source Separation  Techniques}, booktitle={ITG Conference on Speech Communication}, author={Boeddeker, Christoph and Rautenberg, Frederik and Haeb-Umbach, Reinhold}, year={2021} }' chicago: Boeddeker, Christoph, Frederik Rautenberg, and Reinhold Haeb-Umbach. “A Comparison and Combination of Unsupervised Blind Source Separation  Techniques.” In ITG Conference on Speech Communication, 2021. ieee: C. Boeddeker, F. Rautenberg, and R. Haeb-Umbach, “A Comparison and Combination of Unsupervised Blind Source Separation  Techniques,” presented at the ITG Conference on Speech Communication, Kiel, 2021. mla: Boeddeker, Christoph, et al. “A Comparison and Combination of Unsupervised Blind Source Separation  Techniques.” ITG Conference on Speech Communication, 2021. short: 'C. Boeddeker, F. Rautenberg, R. Haeb-Umbach, in: ITG Conference on Speech Communication, 2021.' conference: location: Kiel name: ITG Conference on Speech Communication date_created: 2023-05-15T07:59:33Z date_updated: 2023-11-15T15:29:32Z ddc: - '000' department: - _id: '54' external_id: arxiv: - '2106.05627' file: - access_level: open_access content_type: application/pdf creator: frra date_created: 2023-05-16T08:37:31Z date_updated: 2023-11-15T15:29:32Z file_id: '44856' file_name: 2106.05627.pdf file_size: 295972 relation: main_file file_date_updated: 2023-11-15T15:29:32Z has_accepted_license: '1' language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/pdf/2106.05627.pdf oa: '1' publication: ITG Conference on Speech Communication status: public title: A Comparison and Combination of Unsupervised Blind Source Separation Techniques type: conference user_id: '40767' year: '2021' ... --- _id: '28259' author: - first_name: Christoph full_name: Boeddeker, Christoph id: '40767' last_name: Boeddeker - first_name: Wangyou full_name: Zhang, Wangyou last_name: Zhang - first_name: Tomohiro full_name: Nakatani, Tomohiro last_name: Nakatani - first_name: Keisuke full_name: Kinoshita, Keisuke last_name: Kinoshita - first_name: Tsubasa full_name: Ochiai, Tsubasa last_name: Ochiai - first_name: Marc full_name: Delcroix, Marc last_name: Delcroix - first_name: Naoyuki full_name: Kamo, Naoyuki last_name: Kamo - first_name: Yanmin full_name: Qian, Yanmin last_name: Qian - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Boeddeker C, Zhang W, Nakatani T, et al. Convolutive Transfer Function Invariant SDR Training Criteria for Multi-Channel Reverberant Speech Separation. In: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). ; 2021. doi:10.1109/icassp39728.2021.9414661' apa: Boeddeker, C., Zhang, W., Nakatani, T., Kinoshita, K., Ochiai, T., Delcroix, M., Kamo, N., Qian, Y., & Haeb-Umbach, R. (2021). Convolutive Transfer Function Invariant SDR Training Criteria for Multi-Channel Reverberant Speech Separation. ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). https://doi.org/10.1109/icassp39728.2021.9414661 bibtex: '@inproceedings{Boeddeker_Zhang_Nakatani_Kinoshita_Ochiai_Delcroix_Kamo_Qian_Haeb-Umbach_2021, title={Convolutive Transfer Function Invariant SDR Training Criteria for Multi-Channel Reverberant Speech Separation}, DOI={10.1109/icassp39728.2021.9414661}, booktitle={ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, author={Boeddeker, Christoph and Zhang, Wangyou and Nakatani, Tomohiro and Kinoshita, Keisuke and Ochiai, Tsubasa and Delcroix, Marc and Kamo, Naoyuki and Qian, Yanmin and Haeb-Umbach, Reinhold}, year={2021} }' chicago: Boeddeker, Christoph, Wangyou Zhang, Tomohiro Nakatani, Keisuke Kinoshita, Tsubasa Ochiai, Marc Delcroix, Naoyuki Kamo, Yanmin Qian, and Reinhold Haeb-Umbach. “Convolutive Transfer Function Invariant SDR Training Criteria for Multi-Channel Reverberant Speech Separation.” In ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021. https://doi.org/10.1109/icassp39728.2021.9414661. ieee: 'C. Boeddeker et al., “Convolutive Transfer Function Invariant SDR Training Criteria for Multi-Channel Reverberant Speech Separation,” 2021, doi: 10.1109/icassp39728.2021.9414661.' mla: Boeddeker, Christoph, et al. “Convolutive Transfer Function Invariant SDR Training Criteria for Multi-Channel Reverberant Speech Separation.” ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, doi:10.1109/icassp39728.2021.9414661. short: 'C. Boeddeker, W. Zhang, T. Nakatani, K. Kinoshita, T. Ochiai, M. Delcroix, N. Kamo, Y. Qian, R. Haeb-Umbach, in: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021.' date_created: 2021-12-03T12:00:16Z date_updated: 2023-11-15T15:18:09Z ddc: - '000' department: - _id: '54' doi: 10.1109/icassp39728.2021.9414661 file: - access_level: open_access content_type: application/pdf creator: cbj date_created: 2021-12-03T12:01:20Z date_updated: 2023-11-15T15:18:08Z file_id: '28260' file_name: ICASSP2021_BSSEval.pdf file_size: 228717 relation: main_file file_date_updated: 2023-11-15T15:18:08Z has_accepted_license: '1' language: - iso: eng oa: '1' project: - _id: '52' name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing' publication: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) publication_status: published status: public title: Convolutive Transfer Function Invariant SDR Training Criteria for Multi-Channel Reverberant Speech Separation type: conference user_id: '40767' year: '2021' ... --- _id: '23998' author: - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer - first_name: Jens full_name: Heitkaemper, Jens id: '27643' last_name: Heitkaemper - first_name: Joerg full_name: Ullmann, Joerg id: '16256' last_name: Ullmann - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Schmalenstroeer J, Heitkaemper J, Ullmann J, Haeb-Umbach R. Open Range Pitch Tracking for Carrier Frequency Difference Estimation from HF Transmitted Speech. In: 29th European Signal Processing Conference (EUSIPCO). ; 2021:1-5.' apa: Schmalenstroeer, J., Heitkaemper, J., Ullmann, J., & Haeb-Umbach, R. (2021). Open Range Pitch Tracking for Carrier Frequency Difference Estimation from HF Transmitted Speech. 29th European Signal Processing Conference (EUSIPCO), 1–5. bibtex: '@inproceedings{Schmalenstroeer_Heitkaemper_Ullmann_Haeb-Umbach_2021, title={Open Range Pitch Tracking for Carrier Frequency Difference Estimation from HF Transmitted Speech}, booktitle={29th European Signal Processing Conference (EUSIPCO)}, author={Schmalenstroeer, Joerg and Heitkaemper, Jens and Ullmann, Joerg and Haeb-Umbach, Reinhold}, year={2021}, pages={1–5} }' chicago: Schmalenstroeer, Joerg, Jens Heitkaemper, Joerg Ullmann, and Reinhold Haeb-Umbach. “Open Range Pitch Tracking for Carrier Frequency Difference Estimation from HF Transmitted Speech.” In 29th European Signal Processing Conference (EUSIPCO), 1–5, 2021. ieee: J. Schmalenstroeer, J. Heitkaemper, J. Ullmann, and R. Haeb-Umbach, “Open Range Pitch Tracking for Carrier Frequency Difference Estimation from HF Transmitted Speech,” in 29th European Signal Processing Conference (EUSIPCO), 2021, pp. 1–5. mla: Schmalenstroeer, Joerg, et al. “Open Range Pitch Tracking for Carrier Frequency Difference Estimation from HF Transmitted Speech.” 29th European Signal Processing Conference (EUSIPCO), 2021, pp. 1–5. short: 'J. Schmalenstroeer, J. Heitkaemper, J. Ullmann, R. Haeb-Umbach, in: 29th European Signal Processing Conference (EUSIPCO), 2021, pp. 1–5.' date_created: 2021-09-09T08:40:04Z date_updated: 2023-11-15T14:56:38Z department: - _id: '54' extern: '1' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.48550/arXiv.2103.01599 oa: '1' page: 1-5 publication: 29th European Signal Processing Conference (EUSIPCO) status: public title: Open Range Pitch Tracking for Carrier Frequency Difference Estimation from HF Transmitted Speech type: conference user_id: '460' year: '2021' ... --- _id: '48787' author: - first_name: Olaf full_name: Hartung, Olaf id: '79451' last_name: Hartung citation: ama: 'Hartung O. Rezension von: Jörg van Norden, Thomas Must, Lars Deile, Peter Riedel, Susan Krause und Wanda Schürenberg (Hgg.): Geschichtsdidaktische Grundbegriffe. Ein Bilderbuch für Studium, Lehre und Beruf. Hannover 2020. H-Soz-Kult. Published online 2021.' apa: 'Hartung, O. (2021). Rezension von: Jörg van Norden, Thomas Must, Lars Deile, Peter Riedel, Susan Krause und Wanda Schürenberg (Hgg.): Geschichtsdidaktische Grundbegriffe. Ein Bilderbuch für Studium, Lehre und Beruf. Hannover 2020. In H-Soz-Kult. Clio-online - Historisches Fachinformationssystem e.V.' bibtex: '@article{Hartung_2021, place={Berlin}, title={Rezension von: Jörg van Norden, Thomas Must, Lars Deile, Peter Riedel, Susan Krause und Wanda Schürenberg (Hgg.): Geschichtsdidaktische Grundbegriffe. Ein Bilderbuch für Studium, Lehre und Beruf. Hannover 2020}, journal={H-Soz-Kult}, publisher={Clio-online - Historisches Fachinformationssystem e.V.}, author={Hartung, Olaf}, year={2021} }' chicago: 'Hartung, Olaf. “Rezension von: Jörg van Norden, Thomas Must, Lars Deile, Peter Riedel, Susan Krause Und Wanda Schürenberg (Hgg.): Geschichtsdidaktische Grundbegriffe. Ein Bilderbuch Für Studium, Lehre Und Beruf. Hannover 2020.” H-Soz-Kult. Berlin: Clio-online - Historisches Fachinformationssystem e.V., 2021.' ieee: 'O. Hartung, “Rezension von: Jörg van Norden, Thomas Must, Lars Deile, Peter Riedel, Susan Krause und Wanda Schürenberg (Hgg.): Geschichtsdidaktische Grundbegriffe. Ein Bilderbuch für Studium, Lehre und Beruf. Hannover 2020,” H-Soz-Kult. Clio-online - Historisches Fachinformationssystem e.V., Berlin, 2021.' mla: 'Hartung, Olaf. “Rezension von: Jörg van Norden, Thomas Must, Lars Deile, Peter Riedel, Susan Krause Und Wanda Schürenberg (Hgg.): Geschichtsdidaktische Grundbegriffe. Ein Bilderbuch Für Studium, Lehre Und Beruf. Hannover 2020.” H-Soz-Kult, Clio-online - Historisches Fachinformationssystem e.V., 2021.' short: O. Hartung, H-Soz-Kult (2021). date_created: 2023-11-12T13:38:37Z date_updated: 2023-11-16T18:13:51Z department: - _id: '6' - _id: '444' language: - iso: eng main_file_link: - open_access: '1' url: http://www.hsozkult.de/publicationreview/id/reb-94711 oa: '1' place: Berlin publication: H-Soz-Kult publication_date: 2021-04-23 publisher: Clio-online - Historisches Fachinformationssystem e.V. status: public title: 'Rezension von: Jörg van Norden, Thomas Must, Lars Deile, Peter Riedel, Susan Krause und Wanda Schürenberg (Hgg.): Geschichtsdidaktische Grundbegriffe. Ein Bilderbuch für Studium, Lehre und Beruf. Hannover 2020' type: review user_id: '79451' year: '2021' ... --- _id: '22528' abstract: - lang: eng text: Due to the ad hoc nature of wireless acoustic sensor networks, the position of the sensor nodes is typically unknown. This contribution proposes a technique to estimate the position and orientation of the sensor nodes from the recorded speech signals. The method assumes that a node comprises a microphone array with synchronously sampled microphones rather than a single microphone, but does not require the sampling clocks of the nodes to be synchronized. From the observed audio signals, the distances between the acoustic sources and arrays, as well as the directions of arrival, are estimated. They serve as input to a non-linear least squares problem, from which both the sensor nodes’ positions and orientations, as well as the source positions, are alternatingly estimated in an iterative process. Given one set of unknowns, i.e., either the source positions or the sensor nodes’ geometry, the other set of unknowns can be computed in closed-form. The proposed approach is computationally efficient and the first one, which employs both distance and directional information for geometry calibration in a common cost function. Since both distance and direction of arrival measurements suffer from outliers, e.g., caused by strong reflections of the sound waves on the surfaces of the room, we introduce measures to deemphasize or remove unreliable measurements. Additionally, we discuss modifications of our previously proposed deep neural network-based acoustic distance estimator, to account not only for omnidirectional sources but also for directional sources. Simulation results show good positioning accuracy and compare very favorably with alternative approaches from the literature. author: - first_name: Tobias full_name: Gburrek, Tobias id: '44006' last_name: Gburrek - 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: Gburrek T, Schmalenstroeer J, Haeb-Umbach R. Geometry calibration in wireless acoustic sensor networks utilizing DoA and distance information. EURASIP Journal on Audio, Speech, and Music Processing. Published online 2021. doi:10.1186/s13636-021-00210-x apa: Gburrek, T., Schmalenstroeer, J., & Haeb-Umbach, R. (2021). Geometry calibration in wireless acoustic sensor networks utilizing DoA and distance information. EURASIP Journal on Audio, Speech, and Music Processing. https://doi.org/10.1186/s13636-021-00210-x bibtex: '@article{Gburrek_Schmalenstroeer_Haeb-Umbach_2021, title={Geometry calibration in wireless acoustic sensor networks utilizing DoA and distance information}, DOI={10.1186/s13636-021-00210-x}, journal={EURASIP Journal on Audio, Speech, and Music Processing}, author={Gburrek, Tobias and Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}, year={2021} }' chicago: Gburrek, Tobias, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. “Geometry Calibration in Wireless Acoustic Sensor Networks Utilizing DoA and Distance Information.” EURASIP Journal on Audio, Speech, and Music Processing, 2021. https://doi.org/10.1186/s13636-021-00210-x. ieee: 'T. Gburrek, J. Schmalenstroeer, and R. Haeb-Umbach, “Geometry calibration in wireless acoustic sensor networks utilizing DoA and distance information,” EURASIP Journal on Audio, Speech, and Music Processing, 2021, doi: 10.1186/s13636-021-00210-x.' mla: Gburrek, Tobias, et al. “Geometry Calibration in Wireless Acoustic Sensor Networks Utilizing DoA and Distance Information.” EURASIP Journal on Audio, Speech, and Music Processing, 2021, doi:10.1186/s13636-021-00210-x. short: T. Gburrek, J. Schmalenstroeer, R. Haeb-Umbach, EURASIP Journal on Audio, Speech, and Music Processing (2021). date_created: 2021-07-05T05:30:15Z date_updated: 2023-11-17T06:36:17Z department: - _id: '54' doi: 10.1186/s13636-021-00210-x language: - iso: eng main_file_link: - open_access: '1' url: https://asmp-eurasipjournals.springeropen.com/articles/10.1186/s13636-021-00210-x oa: '1' publication: EURASIP Journal on Audio, Speech, and Music Processing publication_identifier: issn: - 1687-4722 publication_status: published quality_controlled: '1' status: public title: Geometry calibration in wireless acoustic sensor networks utilizing DoA and distance information type: journal_article user_id: '44006' year: '2021' ... --- _id: '23994' author: - first_name: Tobias full_name: Gburrek, Tobias id: '44006' last_name: Gburrek - 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: 'Gburrek T, Schmalenstroeer J, Haeb-Umbach R. Iterative Geometry Calibration from Distance Estimates for Wireless Acoustic Sensor Networks. In: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). ; 2021. doi:10.1109/icassp39728.2021.9413831' apa: Gburrek, T., Schmalenstroeer, J., & Haeb-Umbach, R. (2021). Iterative Geometry Calibration from Distance Estimates for Wireless Acoustic Sensor Networks. ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). https://doi.org/10.1109/icassp39728.2021.9413831 bibtex: '@inproceedings{Gburrek_Schmalenstroeer_Haeb-Umbach_2021, title={Iterative Geometry Calibration from Distance Estimates for Wireless Acoustic Sensor Networks}, DOI={10.1109/icassp39728.2021.9413831}, booktitle={ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, author={Gburrek, Tobias and Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}, year={2021} }' chicago: Gburrek, Tobias, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. “Iterative Geometry Calibration from Distance Estimates for Wireless Acoustic Sensor Networks.” In ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021. https://doi.org/10.1109/icassp39728.2021.9413831. ieee: 'T. Gburrek, J. Schmalenstroeer, and R. Haeb-Umbach, “Iterative Geometry Calibration from Distance Estimates for Wireless Acoustic Sensor Networks,” 2021, doi: 10.1109/icassp39728.2021.9413831.' mla: Gburrek, Tobias, et al. “Iterative Geometry Calibration from Distance Estimates for Wireless Acoustic Sensor Networks.” ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, doi:10.1109/icassp39728.2021.9413831. short: 'T. Gburrek, J. Schmalenstroeer, R. Haeb-Umbach, in: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021.' date_created: 2021-09-09T08:30:16Z date_updated: 2023-11-17T06:30:12Z ddc: - '004' department: - _id: '54' doi: 10.1109/icassp39728.2021.9413831 file: - access_level: open_access content_type: application/pdf creator: tgburrek date_created: 2023-11-17T06:29:40Z date_updated: 2023-11-17T06:30:11Z file_id: '48988' file_name: icassp21.pdf file_size: 312400 relation: main_file file_date_updated: 2023-11-17T06:30:11Z has_accepted_license: '1' language: - iso: eng oa: '1' publication: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) publication_status: published quality_controlled: '1' status: public title: Iterative Geometry Calibration from Distance Estimates for Wireless Acoustic Sensor Networks type: conference user_id: '44006' year: '2021' ... --- _id: '23999' author: - first_name: Tobias full_name: Gburrek, Tobias id: '44006' last_name: Gburrek - 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: 'Gburrek T, Schmalenstroeer J, Haeb-Umbach R. On Source-Microphone Distance Estimation Using Convolutional Recurrent Neural Networks. In: Speech Communication; 14th ITG-Symposium. ; 2021:1-5.' apa: Gburrek, T., Schmalenstroeer, J., & Haeb-Umbach, R. (2021). On Source-Microphone Distance Estimation Using Convolutional Recurrent Neural Networks. Speech Communication; 14th ITG-Symposium, 1–5. bibtex: '@inproceedings{Gburrek_Schmalenstroeer_Haeb-Umbach_2021, title={On Source-Microphone Distance Estimation Using Convolutional Recurrent Neural Networks}, booktitle={Speech Communication; 14th ITG-Symposium}, author={Gburrek, Tobias and Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}, year={2021}, pages={1–5} }' chicago: Gburrek, Tobias, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. “On Source-Microphone Distance Estimation Using Convolutional Recurrent Neural Networks.” In Speech Communication; 14th ITG-Symposium, 1–5, 2021. ieee: T. Gburrek, J. Schmalenstroeer, and R. Haeb-Umbach, “On Source-Microphone Distance Estimation Using Convolutional Recurrent Neural Networks,” in Speech Communication; 14th ITG-Symposium, 2021, pp. 1–5. mla: Gburrek, Tobias, et al. “On Source-Microphone Distance Estimation Using Convolutional Recurrent Neural Networks.” Speech Communication; 14th ITG-Symposium, 2021, pp. 1–5. short: 'T. Gburrek, J. Schmalenstroeer, R. Haeb-Umbach, in: Speech Communication; 14th ITG-Symposium, 2021, pp. 1–5.' date_created: 2021-09-09T08:40:44Z date_updated: 2023-11-17T06:32:20Z ddc: - '004' department: - _id: '54' file: - access_level: open_access content_type: application/pdf creator: tgburrek date_created: 2023-11-17T06:31:37Z date_updated: 2023-11-17T06:31:37Z file_id: '48989' file_name: dist_est.pdf file_size: 449694 relation: main_file file_date_updated: 2023-11-17T06:31:37Z has_accepted_license: '1' language: - iso: eng oa: '1' page: 1-5 publication: Speech Communication; 14th ITG-Symposium quality_controlled: '1' status: public title: On Source-Microphone Distance Estimation Using Convolutional Recurrent Neural Networks type: conference user_id: '44006' year: '2021' ... --- _id: '23997' author: - first_name: Aleksej full_name: Chinaev, Aleksej last_name: Chinaev - first_name: Gerald full_name: Enzner, Gerald last_name: Enzner - first_name: Tobias full_name: Gburrek, Tobias id: '44006' last_name: Gburrek - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer citation: ama: 'Chinaev A, Enzner G, Gburrek T, Schmalenstroeer J. Online Estimation of Sampling Rate Offsets in Wireless Acoustic Sensor Networks with Packet Loss. In: 29th European Signal Processing Conference (EUSIPCO). ; 2021:1-5.' apa: Chinaev, A., Enzner, G., Gburrek, T., & Schmalenstroeer, J. (2021). Online Estimation of Sampling Rate Offsets in Wireless Acoustic Sensor Networks with Packet Loss. 29th European Signal Processing Conference (EUSIPCO), 1–5. bibtex: '@inproceedings{Chinaev_Enzner_Gburrek_Schmalenstroeer_2021, title={Online Estimation of Sampling Rate Offsets in Wireless Acoustic Sensor Networks with Packet Loss}, booktitle={29th European Signal Processing Conference (EUSIPCO)}, author={Chinaev, Aleksej and Enzner, Gerald and Gburrek, Tobias and Schmalenstroeer, Joerg}, year={2021}, pages={1–5} }' chicago: Chinaev, Aleksej, Gerald Enzner, Tobias Gburrek, and Joerg Schmalenstroeer. “Online Estimation of Sampling Rate Offsets in Wireless Acoustic Sensor Networks with Packet Loss.” In 29th European Signal Processing Conference (EUSIPCO), 1–5, 2021. ieee: A. Chinaev, G. Enzner, T. Gburrek, and J. Schmalenstroeer, “Online Estimation of Sampling Rate Offsets in Wireless Acoustic Sensor Networks with Packet Loss,” in 29th European Signal Processing Conference (EUSIPCO), 2021, pp. 1–5. mla: Chinaev, Aleksej, et al. “Online Estimation of Sampling Rate Offsets in Wireless Acoustic Sensor Networks with Packet Loss.” 29th European Signal Processing Conference (EUSIPCO), 2021, pp. 1–5. short: 'A. Chinaev, G. Enzner, T. Gburrek, J. Schmalenstroeer, in: 29th European Signal Processing Conference (EUSIPCO), 2021, pp. 1–5.' date_created: 2021-09-09T08:39:06Z date_updated: 2023-11-17T06:37:10Z department: - _id: '54' language: - iso: eng main_file_link: - open_access: '1' url: https://eurasip.org/Proceedings/Eusipco/Eusipco2021/pdfs/0001110.pdf oa: '1' page: 1-5 publication: 29th European Signal Processing Conference (EUSIPCO) quality_controlled: '1' status: public title: Online Estimation of Sampling Rate Offsets in Wireless Acoustic Sensor Networks with Packet Loss type: conference user_id: '44006' year: '2021' ... --- _id: '49017' author: - first_name: Tilman full_name: Moritz, Tilman id: '23692' last_name: Moritz citation: ama: 'Moritz T. A. Seidler, I. Monok (Hgg.): Reformation und Bücher. Zentren der Ideen – Zentren der Buchproduktion. Wiesbaden 2020. sehepunkte. 2021;21(10).' apa: 'Moritz, T. (2021). A. Seidler, I. Monok (Hgg.): Reformation und Bücher. Zentren der Ideen – Zentren der Buchproduktion. Wiesbaden 2020. In sehepunkte (Vol. 21, Issue 10).' bibtex: '@article{Moritz_2021, title={A. Seidler, I. Monok (Hgg.): Reformation und Bücher. Zentren der Ideen – Zentren der Buchproduktion. Wiesbaden 2020}, volume={21}, number={10}, journal={sehepunkte}, author={Moritz, Tilman}, year={2021} }' chicago: 'Moritz, Tilman. “A. Seidler, I. Monok (Hgg.): Reformation und Bücher. Zentren der Ideen – Zentren der Buchproduktion. Wiesbaden 2020.” sehepunkte, 2021.' ieee: 'T. Moritz, “A. Seidler, I. Monok (Hgg.): Reformation und Bücher. Zentren der Ideen – Zentren der Buchproduktion. Wiesbaden 2020,” sehepunkte, vol. 21, no. 10. 2021.' mla: 'Moritz, Tilman. “A. Seidler, I. Monok (Hgg.): Reformation und Bücher. Zentren der Ideen – Zentren der Buchproduktion. Wiesbaden 2020.” sehepunkte, vol. 21, no. 10, 2021.' short: T. Moritz, sehepunkte 21 (2021). date_created: 2023-11-17T10:04:39Z date_updated: 2023-11-17T10:18:36Z intvolume: ' 21' issue: '10' language: - iso: ger main_file_link: - open_access: '1' url: http://www.sehepunkte.de/2021/10/33878.html oa: '1' publication: sehepunkte publication_date: 2021-10-15 publication_status: published status: public title: 'A. Seidler, I. Monok (Hgg.): Reformation und Bücher. Zentren der Ideen – Zentren der Buchproduktion. Wiesbaden 2020' type: review user_id: '23692' volume: 21 year: '2021' ... --- _id: '29304' abstract: - lang: eng text: 'In this work we address disentanglement of style and content in speech signals. We propose a fully convolutional variational autoencoder employing two encoders: a content encoder and a style encoder. To foster disentanglement, we propose adversarial contrastive predictive coding. This new disentanglement method does neither need parallel data nor any supervision. We show that the proposed technique is capable of separating speaker and content traits into the two different representations and show competitive speaker-content disentanglement performance compared to other unsupervised approaches. We further demonstrate an increased robustness of the content representation against a train-test mismatch compared to spectral features, when used for phone recognition.' author: - first_name: Janek full_name: Ebbers, Janek id: '34851' last_name: Ebbers - first_name: Michael full_name: Kuhlmann, Michael id: '49871' last_name: Kuhlmann - first_name: Tobias full_name: Cord-Landwehr, Tobias id: '44393' last_name: Cord-Landwehr - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Ebbers J, Kuhlmann M, Cord-Landwehr T, Haeb-Umbach R. Contrastive Predictive Coding Supported Factorized Variational Autoencoder for Unsupervised Learning of Disentangled Speech Representations. In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). ; 2021:3860–3864.' apa: Ebbers, J., Kuhlmann, M., Cord-Landwehr, T., & Haeb-Umbach, R. (2021). Contrastive Predictive Coding Supported Factorized Variational Autoencoder for Unsupervised Learning of Disentangled Speech Representations. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 3860–3864. bibtex: '@inproceedings{Ebbers_Kuhlmann_Cord-Landwehr_Haeb-Umbach_2021, title={Contrastive Predictive Coding Supported Factorized Variational Autoencoder for Unsupervised Learning of Disentangled Speech Representations}, booktitle={Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, author={Ebbers, Janek and Kuhlmann, Michael and Cord-Landwehr, Tobias and Haeb-Umbach, Reinhold}, year={2021}, pages={3860–3864} }' chicago: Ebbers, Janek, Michael Kuhlmann, Tobias Cord-Landwehr, and Reinhold Haeb-Umbach. “Contrastive Predictive Coding Supported Factorized Variational Autoencoder for Unsupervised Learning of Disentangled Speech Representations.” In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 3860–3864, 2021. ieee: J. Ebbers, M. Kuhlmann, T. Cord-Landwehr, and R. Haeb-Umbach, “Contrastive Predictive Coding Supported Factorized Variational Autoencoder for Unsupervised Learning of Disentangled Speech Representations,” in Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, pp. 3860–3864. mla: Ebbers, Janek, et al. “Contrastive Predictive Coding Supported Factorized Variational Autoencoder for Unsupervised Learning of Disentangled Speech Representations.” Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, pp. 3860–3864. short: 'J. Ebbers, M. Kuhlmann, T. Cord-Landwehr, R. Haeb-Umbach, in: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, pp. 3860–3864.' date_created: 2022-01-13T07:55:29Z date_updated: 2023-11-22T08:29:42Z ddc: - '000' department: - _id: '54' file: - access_level: open_access content_type: application/pdf creator: ebbers date_created: 2022-01-13T07:56:30Z date_updated: 2022-01-13T08:19:19Z file_id: '29305' file_name: Template.pdf file_size: 236628 relation: main_file file_date_updated: 2022-01-13T08:19:19Z has_accepted_license: '1' language: - iso: eng oa: '1' page: 3860–3864 project: - _id: '52' name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing' publication: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) quality_controlled: '1' status: public title: Contrastive Predictive Coding Supported Factorized Variational Autoencoder for Unsupervised Learning of Disentangled Speech Representations type: conference user_id: '34851' year: '2021' ...