[{"author":[{"full_name":"Kinoshita, Keisuke","last_name":"Kinoshita","first_name":"Keisuke"},{"full_name":"von Neumann, Thilo","orcid":"https://orcid.org/0000-0002-7717-8670","last_name":"von Neumann","first_name":"Thilo","id":"49870"},{"last_name":"Delcroix","first_name":"Marc","full_name":"Delcroix, Marc"},{"last_name":"Nakatani","first_name":"Tomohiro","full_name":"Nakatani, Tomohiro"},{"full_name":"Haeb-Umbach, Reinhold","first_name":"Reinhold","last_name":"Haeb-Umbach","id":"242"}],"year":"2020","title":"Multi-Path RNN for Hierarchical Modeling of Long Sequential Data and its Application to Speaker Stream Separation","date_updated":"2023-11-15T12:14:25Z","language":[{"iso":"eng"}],"doi":"10.21437/Interspeech.2020-2388","publication":"Proc. Interspeech 2020","abstract":[{"lang":"eng","text":"Recently, the source separation performance was greatly improved by time-domain audio source separation based on dual-path recurrent neural network (DPRNN). DPRNN is a simple but effective model for a long sequential data. While DPRNN is quite efficient in modeling a sequential data of the length of an utterance, i.e., about 5 to 10 second data, it is harder to apply it to longer sequences such as whole conversations consisting of multiple utterances. It is simply because, in such a case, the number of time steps consumed by its internal module called inter-chunk RNN becomes extremely large. To mitigate this problem, this paper proposes a multi-path RNN (MPRNN), a generalized version of DPRNN, that models the input data in a hierarchical manner. In the MPRNN framework, the input data is represented at several (>_ 3) time-resolutions, each of which is modeled by a specific RNN sub-module. For example, the RNN sub-module that deals with the finest resolution may model temporal relationship only within a phoneme, while the RNN sub-module handling the most coarse resolution may capture only the relationship between utterances such as speaker information. We perform experiments using simulated dialogue-like mixtures and show that MPRNN has greater model capacity, and it outperforms the current state-of-the-art DPRNN framework especially in online processing scenarios."}],"date_created":"2020-12-16T14:15:24Z","file":[{"creator":"huesera","date_created":"2020-12-16T14:16:32Z","date_updated":"2020-12-16T14:16:32Z","relation":"main_file","file_size":1725219,"access_level":"open_access","file_name":"INTERSPEECH_2020_vonNeumann1_Paper.pdf","content_type":"application/pdf","file_id":"20767"}],"department":[{"_id":"54"}],"type":"conference","status":"public","has_accepted_license":"1","_id":"20766","page":"2652-2656","user_id":"49870","ddc":["000"],"citation":{"chicago":"Kinoshita, Keisuke, Thilo von Neumann, Marc Delcroix, Tomohiro Nakatani, and Reinhold Haeb-Umbach. “Multi-Path RNN for Hierarchical Modeling of Long Sequential Data and Its Application to Speaker Stream Separation.” In <i>Proc. Interspeech 2020</i>, 2652–56, 2020. <a href=\"https://doi.org/10.21437/Interspeech.2020-2388\">https://doi.org/10.21437/Interspeech.2020-2388</a>.","short":"K. Kinoshita, T. von Neumann, M. Delcroix, T. Nakatani, R. Haeb-Umbach, in: Proc. Interspeech 2020, 2020, pp. 2652–2656.","apa":"Kinoshita, K., von Neumann, T., Delcroix, M., Nakatani, T., &#38; Haeb-Umbach, R. (2020). Multi-Path RNN for Hierarchical Modeling of Long Sequential Data and its Application to Speaker Stream Separation. <i>Proc. Interspeech 2020</i>, 2652–2656. <a href=\"https://doi.org/10.21437/Interspeech.2020-2388\">https://doi.org/10.21437/Interspeech.2020-2388</a>","ieee":"K. Kinoshita, T. von Neumann, M. Delcroix, T. Nakatani, and R. Haeb-Umbach, “Multi-Path RNN for Hierarchical Modeling of Long Sequential Data and its Application to Speaker Stream Separation,” in <i>Proc. Interspeech 2020</i>, 2020, pp. 2652–2656, doi: <a href=\"https://doi.org/10.21437/Interspeech.2020-2388\">10.21437/Interspeech.2020-2388</a>.","ama":"Kinoshita K, von Neumann T, Delcroix M, Nakatani T, Haeb-Umbach R. Multi-Path RNN for Hierarchical Modeling of Long Sequential Data and its Application to Speaker Stream Separation. In: <i>Proc. Interspeech 2020</i>. ; 2020:2652-2656. doi:<a href=\"https://doi.org/10.21437/Interspeech.2020-2388\">10.21437/Interspeech.2020-2388</a>","bibtex":"@inproceedings{Kinoshita_von Neumann_Delcroix_Nakatani_Haeb-Umbach_2020, title={Multi-Path RNN for Hierarchical Modeling of Long Sequential Data and its Application to Speaker Stream Separation}, DOI={<a href=\"https://doi.org/10.21437/Interspeech.2020-2388\">10.21437/Interspeech.2020-2388</a>}, booktitle={Proc. Interspeech 2020}, author={Kinoshita, Keisuke and von Neumann, Thilo and Delcroix, Marc and Nakatani, Tomohiro and Haeb-Umbach, Reinhold}, year={2020}, pages={2652–2656} }","mla":"Kinoshita, Keisuke, et al. “Multi-Path RNN for Hierarchical Modeling of Long Sequential Data and Its Application to Speaker Stream Separation.” <i>Proc. Interspeech 2020</i>, 2020, pp. 2652–56, doi:<a href=\"https://doi.org/10.21437/Interspeech.2020-2388\">10.21437/Interspeech.2020-2388</a>."},"file_date_updated":"2020-12-16T14:16:32Z","quality_controlled":"1","oa":"1"},{"place":"Graz, Austria","date_created":"2021-08-24T10:08:32Z","department":[{"_id":"152"}],"type":"conference","citation":{"ama":"Gräßler I, Roesmann D, Pottebaum J. Traceable learning effects by use of digital adaptive assistance in production. In: <i>Procedia Manufacturing - Proceedings of the 10th Conference on Learning Factories, CLF2020, Band 45;  16. - 17. Apr. 2020</i>. Vol 45. Elsevier ; 2020:479-484. doi:<a href=\"https://doi.org/doi: 10.1016/j.promfg.2020.04.058\">doi: 10.1016/j.promfg.2020.04.058</a>","bibtex":"@inproceedings{Gräßler_Roesmann_Pottebaum_2020, place={Graz, Austria}, title={Traceable learning effects by use of digital adaptive assistance in production}, volume={45}, DOI={<a href=\"https://doi.org/doi: 10.1016/j.promfg.2020.04.058\">doi: 10.1016/j.promfg.2020.04.058</a>}, booktitle={Procedia Manufacturing - Proceedings of the 10th Conference on Learning Factories, CLF2020, Band 45;  16. - 17. Apr. 2020}, publisher={Elsevier }, author={Gräßler, Iris and Roesmann, Daniel and Pottebaum, Jens}, year={2020}, pages={479–484} }","mla":"Gräßler, Iris, et al. “Traceable Learning Effects by Use of Digital Adaptive Assistance in Production.” <i>Procedia Manufacturing - Proceedings of the 10th Conference on Learning Factories, CLF2020, Band 45;  16. - 17. Apr. 2020</i>, vol. 45, Elsevier , 2020, pp. 479–84, doi:<a href=\"https://doi.org/doi: 10.1016/j.promfg.2020.04.058\">doi: 10.1016/j.promfg.2020.04.058</a>.","short":"I. Gräßler, D. Roesmann, J. Pottebaum, in: Procedia Manufacturing - Proceedings of the 10th Conference on Learning Factories, CLF2020, Band 45;  16. - 17. Apr. 2020, Elsevier , Graz, Austria, 2020, pp. 479–484.","chicago":"Gräßler, Iris, Daniel Roesmann, and Jens Pottebaum. “Traceable Learning Effects by Use of Digital Adaptive Assistance in Production.” In <i>Procedia Manufacturing - Proceedings of the 10th Conference on Learning Factories, CLF2020, Band 45;  16. - 17. Apr. 2020</i>, 45:479–84. Graz, Austria: Elsevier , 2020. <a href=\"https://doi.org/doi: 10.1016/j.promfg.2020.04.058\">https://doi.org/doi: 10.1016/j.promfg.2020.04.058</a>.","apa":"Gräßler, I., Roesmann, D., &#38; Pottebaum, J. (2020). Traceable learning effects by use of digital adaptive assistance in production. <i>Procedia Manufacturing - Proceedings of the 10th Conference on Learning Factories, CLF2020, Band 45;  16. - 17. Apr. 2020</i>, <i>45</i>, 479–484. <a href=\"https://doi.org/doi: 10.1016/j.promfg.2020.04.058\">https://doi.org/doi: 10.1016/j.promfg.2020.04.058</a>","ieee":"I. Gräßler, D. Roesmann, and J. Pottebaum, “Traceable learning effects by use of digital adaptive assistance in production,” in <i>Procedia Manufacturing - Proceedings of the 10th Conference on Learning Factories, CLF2020, Band 45;  16. - 17. Apr. 2020</i>, 2020, vol. 45, pp. 479–484, doi: <a href=\"https://doi.org/doi: 10.1016/j.promfg.2020.04.058\">doi: 10.1016/j.promfg.2020.04.058</a>."},"publication":"Procedia Manufacturing - Proceedings of the 10th Conference on Learning Factories, CLF2020, Band 45;  16. - 17. Apr. 2020","quality_controlled":"1","language":[{"iso":"eng"}],"_id":"23518","publisher":"Elsevier ","page":"479-484","volume":45,"doi":"doi: 10.1016/j.promfg.2020.04.058","user_id":"405","author":[{"id":"47565","orcid":"0000-0001-5765-971X","last_name":"Gräßler","first_name":"Iris","full_name":"Gräßler, Iris"},{"full_name":"Roesmann, Daniel","first_name":"Daniel","last_name":"Roesmann","id":"54680"},{"id":"405","first_name":"Jens","orcid":"http://orcid.org/0000-0001-8778-2989","last_name":"Pottebaum","full_name":"Pottebaum, Jens"}],"title":"Traceable learning effects by use of digital adaptive assistance in production","status":"public","year":"2020","intvolume":"        45","date_updated":"2023-11-16T09:22:14Z"},{"date_created":"2021-08-24T09:48:06Z","type":"conference","department":[{"_id":"152"}],"publication":"ISPIM Conference Proceedings; 7. - 10. Jun. 2020","citation":{"chicago":"Gräßler, Iris, Jens Pottebaum, Philipp Scholle, and Henrik Thiele. “Innovation Management and Strategic Planning of Innovative Self-Preparednes and Self-Protection Services.” In <i>ISPIM Conference Proceedings; 7. - 10. Jun. 2020</i>, 1–9. International Society for Professional Innovation Management (ISPIM), 2020.","short":"I. Gräßler, J. Pottebaum, P. Scholle, H. Thiele, in: ISPIM Conference Proceedings; 7. - 10. Jun. 2020, International Society for Professional Innovation Management (ISPIM), 2020, pp. 1–9.","apa":"Gräßler, I., Pottebaum, J., Scholle, P., &#38; Thiele, H. (2020). Innovation management and strategic planning of innovative self-preparednes and self-Protection services. <i>ISPIM Conference Proceedings; 7. - 10. Jun. 2020</i>, 1–9.","ieee":"I. Gräßler, J. Pottebaum, P. Scholle, and H. Thiele, “Innovation management and strategic planning of innovative self-preparednes and self-Protection services,” in <i>ISPIM Conference Proceedings; 7. - 10. Jun. 2020</i>, 2020, pp. 1–9.","ama":"Gräßler I, Pottebaum J, Scholle P, Thiele H. Innovation management and strategic planning of innovative self-preparednes and self-Protection services. In: <i>ISPIM Conference Proceedings; 7. - 10. Jun. 2020</i>. International Society for Professional Innovation Management (ISPIM); 2020:1-9.","bibtex":"@inproceedings{Gräßler_Pottebaum_Scholle_Thiele_2020, title={Innovation management and strategic planning of innovative self-preparednes and self-Protection services}, booktitle={ISPIM Conference Proceedings; 7. - 10. Jun. 2020}, publisher={International Society for Professional Innovation Management (ISPIM)}, author={Gräßler, Iris and Pottebaum, Jens and Scholle, Philipp and Thiele, Henrik}, year={2020}, pages={1–9} }","mla":"Gräßler, Iris, et al. “Innovation Management and Strategic Planning of Innovative Self-Preparednes and Self-Protection Services.” <i>ISPIM Conference Proceedings; 7. - 10. Jun. 2020</i>, International Society for Professional Innovation Management (ISPIM), 2020, pp. 1–9."},"quality_controlled":"1","page":"1-9","main_file_link":[{"url":"https://engrxiv.org/d25w4/"}],"publisher":"International Society for Professional Innovation Management (ISPIM)","_id":"23513","language":[{"iso":"eng"}],"user_id":"405","title":"Innovation management and strategic planning of innovative self-preparednes and self-Protection services","status":"public","year":"2020","publication_identifier":{"unknown":["ISBN 978-952-335-466-1"]},"author":[{"id":"47565","first_name":"Iris","orcid":"0000-0001-5765-971X","last_name":"Gräßler","full_name":"Gräßler, Iris"},{"id":"405","first_name":"Jens","last_name":"Pottebaum","orcid":"http://orcid.org/0000-0001-8778-2989","full_name":"Pottebaum, Jens"},{"full_name":"Scholle, Philipp","first_name":"Philipp","last_name":"Scholle"},{"id":"33419","first_name":"Henrik","last_name":"Thiele","full_name":"Thiele, Henrik"}],"date_updated":"2023-11-16T09:21:58Z"},{"department":[{"_id":"152"}],"type":"journal_article","date_created":"2021-08-23T12:37:24Z","abstract":[{"lang":"eng","text":"<jats:title>Abstract</jats:title><jats:p>The value of models is well recognised in product and systems engineering. Modelling languages and diagrams are used to capture mental models and to handle model complexity. Literature research indicates that there are only very few approaches to utilise the potential of virtual and augmented reality for supporting tasks in model based (systems) engineering. The paper at hand contributes a new morphology of intuitive interaction for Immersive Abstraction as a holistic approach to extend that coverage. It presents a holistic framework to categorise solutions and future research directions.</jats:p>"}],"publication":"Proceedings of the Design Society: DESIGN Conference; 26. - 29. Okt. 2020","doi":"10.1017/dsd.2020.158","language":[{"iso":"eng"}],"publication_status":"published","date_updated":"2023-11-16T09:24:11Z","publication_identifier":{"issn":["2633-7762"]},"author":[{"id":"47565","full_name":"Gräßler, Iris","last_name":"Gräßler","first_name":"Iris","orcid":"0000-0001-5765-971X"},{"orcid":"http://orcid.org/0000-0001-8778-2989","first_name":"Jens","last_name":"Pottebaum","full_name":"Pottebaum, Jens","id":"405"}],"title":"Immersive Abstraction: A new Morphology of Intuitive Interaction with System Models","year":"2020","quality_controlled":"1","citation":{"ama":"Gräßler I, Pottebaum J. Immersive Abstraction: A new Morphology of Intuitive Interaction with System Models. <i>Proceedings of the Design Society: DESIGN Conference; 26 - 29 Okt 2020</i>. 2020;Band 1:1295-1304. doi:<a href=\"https://doi.org/10.1017/dsd.2020.158\">10.1017/dsd.2020.158</a>","bibtex":"@article{Gräßler_Pottebaum_2020, title={Immersive Abstraction: A new Morphology of Intuitive Interaction with System Models}, volume={Band 1}, DOI={<a href=\"https://doi.org/10.1017/dsd.2020.158\">10.1017/dsd.2020.158</a>}, journal={Proceedings of the Design Society: DESIGN Conference; 26. - 29. Okt. 2020}, publisher={Cambridge University Press}, author={Gräßler, Iris and Pottebaum, Jens}, year={2020}, pages={1295–1304} }","mla":"Gräßler, Iris, and Jens Pottebaum. “Immersive Abstraction: A New Morphology of Intuitive Interaction with System Models.” <i>Proceedings of the Design Society: DESIGN Conference; 26. - 29. Okt. 2020</i>, vol. Band 1, Cambridge University Press, 2020, pp. 1295–304, doi:<a href=\"https://doi.org/10.1017/dsd.2020.158\">10.1017/dsd.2020.158</a>.","chicago":"Gräßler, Iris, and Jens Pottebaum. “Immersive Abstraction: A New Morphology of Intuitive Interaction with System Models.” <i>Proceedings of the Design Society: DESIGN Conference; 26. - 29. Okt. 2020</i> Band 1 (2020): 1295–1304. <a href=\"https://doi.org/10.1017/dsd.2020.158\">https://doi.org/10.1017/dsd.2020.158</a>.","short":"I. Gräßler, J. Pottebaum, Proceedings of the Design Society: DESIGN Conference; 26. - 29. Okt. 2020 Band 1 (2020) 1295–1304.","apa":"Gräßler, I., &#38; Pottebaum, J. (2020). Immersive Abstraction: A new Morphology of Intuitive Interaction with System Models. <i>Proceedings of the Design Society: DESIGN Conference; 26. - 29. Okt. 2020</i>, <i>Band 1</i>, 1295–1304. <a href=\"https://doi.org/10.1017/dsd.2020.158\">https://doi.org/10.1017/dsd.2020.158</a>","ieee":"I. Gräßler and J. Pottebaum, “Immersive Abstraction: A new Morphology of Intuitive Interaction with System Models,” <i>Proceedings of the Design Society: DESIGN Conference; 26. - 29. Okt. 2020</i>, vol. Band 1, pp. 1295–1304, 2020, doi: <a href=\"https://doi.org/10.1017/dsd.2020.158\">10.1017/dsd.2020.158</a>."},"volume":"Band 1","user_id":"405","publisher":"Cambridge University Press","_id":"23468","page":"1295-1304","status":"public"},{"_id":"23520","language":[{"iso":"ger"}],"publisher":"Gesellschaft für Arbeitswissenschaft e. V., Dortmund","page":"B.6.4","user_id":"405","author":[{"last_name":"Gräßler","first_name":"Iris","orcid":"0000-0001-5765-971X","full_name":"Gräßler, Iris","id":"47565"},{"id":"54680","full_name":"Roesmann, Daniel","first_name":"Daniel","last_name":"Roesmann"},{"id":"405","first_name":"Jens","orcid":"http://orcid.org/0000-0001-8778-2989","last_name":"Pottebaum","full_name":"Pottebaum, Jens"}],"publication_identifier":{"isbn":["978-3-936804-27-0"]},"title":"Entwicklung eines Prüfstands für die Bewertung von kompetenzbildenden Assistenzsystemen in Cyber-physischen Produktionssystemen","year":"2020","status":"public","date_updated":"2023-11-16T09:22:38Z","place":"Berlin","date_created":"2021-08-25T12:28:20Z","department":[{"_id":"152"}],"type":"conference","citation":{"chicago":"Gräßler, Iris, Daniel Roesmann, and Jens Pottebaum. “Entwicklung eines Prüfstands für die Bewertung von kompetenzbildenden Assistenzsystemen in Cyber-physischen Produktionssystemen.” In <i>Frühjahrskongress 2020 - Digitaler Wandel, digitale Arbeit, digitaler Mensch?; 16. - 18. Mrz. 2020</i>, B.6.4. Berlin: Gesellschaft für Arbeitswissenschaft e. V., Dortmund, 2020.","short":"I. Gräßler, D. Roesmann, J. Pottebaum, in: Frühjahrskongress 2020 - Digitaler Wandel, digitale Arbeit, digitaler Mensch?; 16. - 18. Mrz. 2020, Gesellschaft für Arbeitswissenschaft e. V., Dortmund, Berlin, 2020, p. B.6.4.","ieee":"I. Gräßler, D. Roesmann, and J. Pottebaum, “Entwicklung eines Prüfstands für die Bewertung von kompetenzbildenden Assistenzsystemen in Cyber-physischen Produktionssystemen,” in <i>Frühjahrskongress 2020 - Digitaler Wandel, digitale Arbeit, digitaler Mensch?; 16. - 18. Mrz. 2020</i>, 2020, p. B.6.4.","apa":"Gräßler, I., Roesmann, D., &#38; Pottebaum, J. (2020). Entwicklung eines Prüfstands für die Bewertung von kompetenzbildenden Assistenzsystemen in Cyber-physischen Produktionssystemen. <i>Frühjahrskongress 2020 - Digitaler Wandel, digitale Arbeit, digitaler Mensch?; 16. - 18. Mrz. 2020</i>, B.6.4.","bibtex":"@inproceedings{Gräßler_Roesmann_Pottebaum_2020, place={Berlin}, title={Entwicklung eines Prüfstands für die Bewertung von kompetenzbildenden Assistenzsystemen in Cyber-physischen Produktionssystemen}, booktitle={Frühjahrskongress 2020 - Digitaler Wandel, digitale Arbeit, digitaler Mensch?; 16. - 18. Mrz. 2020}, publisher={Gesellschaft für Arbeitswissenschaft e. V., Dortmund}, author={Gräßler, Iris and Roesmann, Daniel and Pottebaum, Jens}, year={2020}, pages={B.6.4} }","ama":"Gräßler I, Roesmann D, Pottebaum J. Entwicklung eines Prüfstands für die Bewertung von kompetenzbildenden Assistenzsystemen in Cyber-physischen Produktionssystemen. In: <i>Frühjahrskongress 2020 - Digitaler Wandel, digitale Arbeit, digitaler Mensch?; 16. - 18. Mrz. 2020</i>. Gesellschaft für Arbeitswissenschaft e. V., Dortmund; 2020:B.6.4.","mla":"Gräßler, Iris, et al. “Entwicklung eines Prüfstands für die Bewertung von kompetenzbildenden Assistenzsystemen in Cyber-physischen Produktionssystemen.” <i>Frühjahrskongress 2020 - Digitaler Wandel, digitale Arbeit, digitaler Mensch?; 16. - 18. Mrz. 2020</i>, Gesellschaft für Arbeitswissenschaft e. V., Dortmund, 2020, p. B.6.4."},"publication":"Frühjahrskongress 2020 - Digitaler Wandel, digitale Arbeit, digitaler Mensch?; 16. - 18. Mrz. 2020","quality_controlled":"1"},{"citation":{"mla":"Gräßler, Iris, et al. “Produktdatenbasiertes, arbeitsgebundenes Lernen für und mit Augmented Reality in der Instandhaltung.” <i>Frühjahrskongress 2020 - Digitaler Wandel, digitale Arbeit, digitaler Mensch?; 16. - 18. Mrz. 2020</i>, Gesellschaft für Arbeitswissenschaft e. V., Dortmund, 2020, p. B.2.2.","ama":"Gräßler I, Pottebaum J, Taplick P, Roesmann D, Kamann M. Produktdatenbasiertes, arbeitsgebundenes Lernen für und mit Augmented Reality in der Instandhaltung. In: <i>Frühjahrskongress 2020 - Digitaler Wandel, digitale Arbeit, digitaler Mensch?; 16. - 18. Mrz. 2020</i>. Gesellschaft für Arbeitswissenschaft e. V., Dortmund; 2020:B.2.2.","bibtex":"@inproceedings{Gräßler_Pottebaum_Taplick_Roesmann_Kamann_2020, place={Berlin}, title={Produktdatenbasiertes, arbeitsgebundenes Lernen für und mit Augmented Reality in der Instandhaltung}, booktitle={Frühjahrskongress 2020 - Digitaler Wandel, digitale Arbeit, digitaler Mensch?; 16. - 18. Mrz. 2020}, publisher={Gesellschaft für Arbeitswissenschaft e. V., Dortmund}, author={Gräßler, Iris and Pottebaum, Jens and Taplick, Patrick and Roesmann, Daniel and Kamann, Markus}, year={2020}, pages={B.2.2} }","apa":"Gräßler, I., Pottebaum, J., Taplick, P., Roesmann, D., &#38; Kamann, M. (2020). Produktdatenbasiertes, arbeitsgebundenes Lernen für und mit Augmented Reality in der Instandhaltung. <i>Frühjahrskongress 2020 - Digitaler Wandel, digitale Arbeit, digitaler Mensch?; 16. - 18. Mrz. 2020</i>, B.2.2.","ieee":"I. Gräßler, J. Pottebaum, P. Taplick, D. Roesmann, and M. Kamann, “Produktdatenbasiertes, arbeitsgebundenes Lernen für und mit Augmented Reality in der Instandhaltung,” in <i>Frühjahrskongress 2020 - Digitaler Wandel, digitale Arbeit, digitaler Mensch?; 16. - 18. Mrz. 2020</i>, 2020, p. B.2.2.","chicago":"Gräßler, Iris, Jens Pottebaum, Patrick Taplick, Daniel Roesmann, and Markus Kamann. “Produktdatenbasiertes, arbeitsgebundenes Lernen für und mit Augmented Reality in der Instandhaltung.” In <i>Frühjahrskongress 2020 - Digitaler Wandel, digitale Arbeit, digitaler Mensch?; 16. - 18. Mrz. 2020</i>, B.2.2. Berlin: Gesellschaft für Arbeitswissenschaft e. V., Dortmund, 2020.","short":"I. Gräßler, J. Pottebaum, P. Taplick, D. Roesmann, M. Kamann, in: Frühjahrskongress 2020 - Digitaler Wandel, digitale Arbeit, digitaler Mensch?; 16. - 18. Mrz. 2020, Gesellschaft für Arbeitswissenschaft e. V., Dortmund, Berlin, 2020, p. 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V., Dortmund","page":"B.2.2","user_id":"405"},{"quality_controlled":"1","issue":"(11-12)","publication":"Konstruktion","citation":{"short":"J. Pottebaum, I. Gräßler, Konstruktion 72 (11–12) (2020) 76–83.","chicago":"Pottebaum, Jens, and Iris Gräßler. “Informationsqualität in der Produktentwicklung: Modellbasiertes Systems Engineering mit expliziter Berücksichtigung von Unsicherheit.” <i>Konstruktion</i> 72 (11-12), no. (11-12) (2020): 76–83. <a href=\"https://doi.org/10.37544/0720-5953-2020-11-12-76\">https://doi.org/10.37544/0720-5953-2020-11-12-76</a>.","ieee":"J. Pottebaum and I. Gräßler, “Informationsqualität in der Produktentwicklung: Modellbasiertes Systems Engineering mit expliziter Berücksichtigung von Unsicherheit,” <i>Konstruktion</i>, vol. 72 (11–12), no. (11-12), pp. 76–83, 2020, doi: <a href=\"https://doi.org/10.37544/0720-5953-2020-11-12-76\">10.37544/0720-5953-2020-11-12-76</a>.","apa":"Pottebaum, J., &#38; Gräßler, I. (2020). Informationsqualität in der Produktentwicklung: Modellbasiertes Systems Engineering mit expliziter Berücksichtigung von Unsicherheit. <i>Konstruktion</i>, <i>72 (11-12)</i>((11-12)), 76–83. <a href=\"https://doi.org/10.37544/0720-5953-2020-11-12-76\">https://doi.org/10.37544/0720-5953-2020-11-12-76</a>","bibtex":"@article{Pottebaum_Gräßler_2020, title={Informationsqualität in der Produktentwicklung: Modellbasiertes Systems Engineering mit expliziter Berücksichtigung von Unsicherheit}, volume={72 (11–12)}, DOI={<a href=\"https://doi.org/10.37544/0720-5953-2020-11-12-76\">10.37544/0720-5953-2020-11-12-76</a>}, number={(11-12)}, journal={Konstruktion}, publisher={VDI-Verlag}, author={Pottebaum, Jens and Gräßler, Iris}, year={2020}, pages={76–83} }","ama":"Pottebaum J, Gräßler I. Informationsqualität in der Produktentwicklung: Modellbasiertes Systems Engineering mit expliziter Berücksichtigung von Unsicherheit. <i>Konstruktion</i>. 2020;72 (11-12)((11-12)):76-83. doi:<a href=\"https://doi.org/10.37544/0720-5953-2020-11-12-76\">10.37544/0720-5953-2020-11-12-76</a>","mla":"Pottebaum, Jens, and Iris Gräßler. “Informationsqualität in der Produktentwicklung: Modellbasiertes Systems Engineering mit expliziter Berücksichtigung von Unsicherheit.” <i>Konstruktion</i>, vol. 72 (11-12), no. (11-12), VDI-Verlag, 2020, pp. 76–83, doi:<a href=\"https://doi.org/10.37544/0720-5953-2020-11-12-76\">10.37544/0720-5953-2020-11-12-76</a>."},"type":"journal_article","department":[{"_id":"152"}],"date_created":"2021-08-26T12:08:21Z","date_updated":"2023-11-16T09:23:05Z","title":"Informationsqualität in der Produktentwicklung: Modellbasiertes Systems Engineering mit expliziter Berücksichtigung von Unsicherheit","year":"2020","status":"public","author":[{"last_name":"Pottebaum","orcid":"http://orcid.org/0000-0001-8778-2989","first_name":"Jens","full_name":"Pottebaum, Jens","id":"405"},{"id":"47565","full_name":"Gräßler, Iris","orcid":"0000-0001-5765-971X","last_name":"Gräßler","first_name":"Iris"}],"user_id":"405","doi":"10.37544/0720-5953-2020-11-12-76","volume":"72 (11-12)","page":"76-83","_id":"23530","language":[{"iso":"ger"}],"publisher":"VDI-Verlag"},{"year":"2020","title":"Hunger (Eduardo Chillida) und Swingcolor","status":"public","author":[{"id":"77991","last_name":"Schulze","first_name":"Max","full_name":"Schulze, Max"}],"date_updated":"2023-11-16T11:56:20Z","publication_status":"published","_id":"48963","language":[{"iso":"ger"}],"user_id":"77991","editor":[{"last_name":"Gliem","first_name":"Vera","full_name":"Gliem, Vera"},{"first_name":"Stephan","last_name":"Strsembski","full_name":"Strsembski, Stephan"}],"publication":"Provinz Editionen 2011-2020","citation":{"ama":"Schulze M. 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Katalog zur Ausstellung im Erzbischöflichen Diözesanmuseum Paderborn</i>, C. Stiegemann and Erzbischöfliches Diözesanmuseum Paderborn, Eds. Petersberg: Michael Imhof, 2020, pp. 136–147.","short":"T. Moritz, in: C. Stiegemann, Erzbischöfliches Diözesanmuseum Paderborn (Eds.), Peter Paul Rubens und der Barock im Norden. Katalog zur Ausstellung im Erzbischöflichen Diözesanmuseum Paderborn, Michael Imhof, Petersberg, 2020, pp. 136–147.","chicago":"Moritz, Tilman. “Mehr Barock wagen. Neuordnungen des Fürstbistums Paderborn aus dem Dreißigjährigen Krieg.” In <i>Peter Paul Rubens und der Barock im Norden. Katalog zur Ausstellung im Erzbischöflichen Diözesanmuseum Paderborn</i>, edited by Christoph Stiegemann and Erzbischöfliches Diözesanmuseum Paderborn, 136–147. Petersberg: Michael Imhof, 2020."},"publication":"Peter Paul Rubens und der Barock im Norden. Katalog zur Ausstellung im Erzbischöflichen Diözesanmuseum Paderborn","type":"book_chapter","date_created":"2023-11-17T09:42:51Z","place":"Petersberg"},{"date_created":"2020-08-14T15:02:22Z","type":"book_chapter","department":[{"_id":"101"}],"publication":"Advances in Dynamics, Optimization and Computation","abstract":[{"lang":"eng","text":"In this work we review the novel framework for the computation of finite dimensional invariant sets of infinite dimensional dynamical systems developed in [6] and [36]. By utilizing results on embedding techniques for infinite dimensional systems we extend a classical subdivision scheme [8] as well as a continuation algorithm [7] for the computation of attractors and invariant manifolds of finite dimensional systems to the infinite dimensional case. We show how to implement this approach for the analysis of delay differential equations and partial differential equations and illustrate the feasibility of our implementation by computing the attractor of the Mackey-Glass equation and the unstable manifold of the one-dimensional Kuramoto-Sivashinsky equation."}],"main_file_link":[{"url":"https://link.springer.com/chapter/10.1007/978-3-030-51264-4_3"}],"language":[{"iso":"eng"}],"series_title":"Studies in Systems, Decision and Control","doi":"10.1007/978-3-030-51264-4_3","title":"The Approximation of Invariant Sets in Infinite Dimensional Dynamical Systems","year":"2020","author":[{"full_name":"Gerlach, Raphael","first_name":"Raphael","last_name":"Gerlach","id":"32655"},{"full_name":"Ziessler, Adrian","last_name":"Ziessler","first_name":"Adrian"}],"publication_identifier":{"isbn":["9783030512637","9783030512644"],"issn":["2198-4182","2198-4190"]},"date_updated":"2023-11-17T13:13:25Z","publication_status":"published","intvolume":"       304","place":"Cham","citation":{"ieee":"R. Gerlach and A. Ziessler, “The Approximation of Invariant Sets in Infinite Dimensional Dynamical Systems,” in <i>Advances in Dynamics, Optimization and Computation</i>, vol. 304, O. Junge, O. Schütze, S. Ober-Blöbaum, and K. Padberg-Gehle, Eds. Cham: Springer International Publishing, 2020, pp. 66–85.","apa":"Gerlach, R., &#38; Ziessler, A. (2020). The Approximation of Invariant Sets in Infinite Dimensional Dynamical Systems. In O. Junge, O. Schütze, S. Ober-Blöbaum, &#38; K. Padberg-Gehle (Eds.), <i>Advances in Dynamics, Optimization and Computation</i> (Vol. 304, pp. 66–85). Springer International Publishing. <a href=\"https://doi.org/10.1007/978-3-030-51264-4_3\">https://doi.org/10.1007/978-3-030-51264-4_3</a>","chicago":"Gerlach, Raphael, and Adrian Ziessler. “The Approximation of Invariant Sets in Infinite Dimensional Dynamical Systems.” In <i>Advances in Dynamics, Optimization and Computation</i>, edited by Oliver Junge, Oliver Schütze, Sina Ober-Blöbaum, and Kathrin Padberg-Gehle, 304:66–85. Studies in Systems, Decision and Control. Cham: Springer International Publishing, 2020. <a href=\"https://doi.org/10.1007/978-3-030-51264-4_3\">https://doi.org/10.1007/978-3-030-51264-4_3</a>.","short":"R. Gerlach, A. Ziessler, in: O. Junge, O. Schütze, S. Ober-Blöbaum, K. Padberg-Gehle (Eds.), Advances in Dynamics, Optimization and Computation, Springer International Publishing, Cham, 2020, pp. 66–85.","mla":"Gerlach, Raphael, and Adrian Ziessler. “The Approximation of Invariant Sets in Infinite Dimensional Dynamical Systems.” <i>Advances in Dynamics, Optimization and Computation</i>, edited by Oliver Junge et al., vol. 304, Springer International Publishing, 2020, pp. 66–85, doi:<a href=\"https://doi.org/10.1007/978-3-030-51264-4_3\">10.1007/978-3-030-51264-4_3</a>.","bibtex":"@inbook{Gerlach_Ziessler_2020, place={Cham}, series={Studies in Systems, Decision and Control}, title={The Approximation of Invariant Sets in Infinite Dimensional Dynamical Systems}, volume={304}, DOI={<a href=\"https://doi.org/10.1007/978-3-030-51264-4_3\">10.1007/978-3-030-51264-4_3</a>}, booktitle={Advances in Dynamics, Optimization and Computation}, publisher={Springer International Publishing}, author={Gerlach, Raphael and Ziessler, Adrian}, editor={Junge, Oliver and Schütze, Oliver and Ober-Blöbaum, Sina and Padberg-Gehle, Kathrin}, year={2020}, pages={66–85}, collection={Studies in Systems, Decision and Control} }","ama":"Gerlach R, Ziessler A. The Approximation of Invariant Sets in Infinite Dimensional Dynamical Systems. In: Junge O, Schütze O, Ober-Blöbaum S, Padberg-Gehle K, eds. <i>Advances in Dynamics, Optimization and Computation</i>. Vol 304. Studies in Systems, Decision and Control. Springer International Publishing; 2020:66-85. doi:<a href=\"https://doi.org/10.1007/978-3-030-51264-4_3\">10.1007/978-3-030-51264-4_3</a>"},"page":"66-85","_id":"17994","publisher":"Springer International Publishing","user_id":"32655","editor":[{"last_name":"Junge","first_name":"Oliver","full_name":"Junge, Oliver"},{"last_name":"Schütze","first_name":"Oliver","full_name":"Schütze, Oliver"},{"full_name":"Ober-Blöbaum, Sina","first_name":"Sina","last_name":"Ober-Blöbaum"},{"full_name":"Padberg-Gehle, Kathrin","last_name":"Padberg-Gehle","first_name":"Kathrin"}],"volume":304,"status":"public"},{"citation":{"short":"M. Dellnitz, B. Gebken, R. Gerlach, S. Klus, Dynamical Systems 35 (2020) 197–215.","chicago":"Dellnitz, Michael, Bennet Gebken, Raphael Gerlach, and Stefan Klus. “On the Equivariance Properties of Self-Adjoint Matrices.” <i>Dynamical Systems</i> 35, no. 2 (2020): 197–215. <a href=\"https://doi.org/10.1080/14689367.2019.1661355\">https://doi.org/10.1080/14689367.2019.1661355</a>.","ieee":"M. Dellnitz, B. Gebken, R. Gerlach, and S. Klus, “On the equivariance properties of self-adjoint matrices,” <i>Dynamical Systems</i>, vol. 35, no. 2, pp. 197–215, 2020, doi: <a href=\"https://doi.org/10.1080/14689367.2019.1661355\">10.1080/14689367.2019.1661355</a>.","apa":"Dellnitz, M., Gebken, B., Gerlach, R., &#38; Klus, S. (2020). On the equivariance properties of self-adjoint matrices. <i>Dynamical Systems</i>, <i>35</i>(2), 197–215. <a href=\"https://doi.org/10.1080/14689367.2019.1661355\">https://doi.org/10.1080/14689367.2019.1661355</a>","bibtex":"@article{Dellnitz_Gebken_Gerlach_Klus_2020, title={On the equivariance properties of self-adjoint matrices}, volume={35}, DOI={<a href=\"https://doi.org/10.1080/14689367.2019.1661355\">10.1080/14689367.2019.1661355</a>}, number={2}, journal={Dynamical Systems}, author={Dellnitz, Michael and Gebken, Bennet and Gerlach, Raphael and Klus, Stefan}, year={2020}, pages={197–215} }","ama":"Dellnitz M, Gebken B, Gerlach R, Klus S. On the equivariance properties of self-adjoint matrices. <i>Dynamical Systems</i>. 2020;35(2):197-215. doi:<a href=\"https://doi.org/10.1080/14689367.2019.1661355\">10.1080/14689367.2019.1661355</a>","mla":"Dellnitz, Michael, et al. “On the Equivariance Properties of Self-Adjoint Matrices.” <i>Dynamical Systems</i>, vol. 35, no. 2, 2020, pp. 197–215, doi:<a href=\"https://doi.org/10.1080/14689367.2019.1661355\">10.1080/14689367.2019.1661355</a>."},"page":"197-215","_id":"16712","user_id":"32655","volume":35,"status":"public","date_created":"2020-04-16T14:07:25Z","type":"journal_article","department":[{"_id":"101"}],"publication":"Dynamical Systems","issue":"2","abstract":[{"lang":"eng","text":"We investigate self-adjoint matrices A∈Rn,n with respect to their equivariance properties. We show in particular that a matrix is self-adjoint if and only if it is equivariant with respect to the action of a group Γ2(A)⊂O(n) which is isomorphic to ⊗nk=1Z2. If the self-adjoint matrix possesses multiple eigenvalues – this may, for instance, be induced by symmetry properties of an underlying dynamical system – then A is even equivariant with respect to the action of a group Γ(A)≃∏ki=1O(mi) where m1,…,mk are the multiplicities of the eigenvalues λ1,…,λk of A. We discuss implications of this result for equivariant bifurcation problems, and we briefly address further applications for the Procrustes problem, graph symmetries and Taylor expansions."}],"main_file_link":[{"url":"https://doi.org/10.1080/14689367.2019.1661355"}],"language":[{"iso":"eng"}],"doi":"10.1080/14689367.2019.1661355","year":"2020","title":"On the equivariance properties of self-adjoint matrices","author":[{"first_name":"Michael","last_name":"Dellnitz","full_name":"Dellnitz, Michael"},{"full_name":"Gebken, Bennet","first_name":"Bennet","last_name":"Gebken","id":"32643"},{"first_name":"Raphael","last_name":"Gerlach","full_name":"Gerlach, Raphael","id":"32655"},{"full_name":"Klus, Stefan","last_name":"Klus","first_name":"Stefan"}],"publication_identifier":{"issn":["1468-9367","1468-9375"]},"date_updated":"2023-11-17T13:12:59Z","publication_status":"published","intvolume":"        35"},{"author":[{"last_name":"Schulze","first_name":"Max","full_name":"Schulze, Max","id":"77991"}],"status":"public","title":"Vandalene","year":"2020","date_updated":"2023-11-20T09:59:44Z","publication_status":"published","_id":"49070","publisher":"Eigenverlag","language":[{"iso":"ger"}],"page":"40","user_id":"77991","citation":{"ieee":"M. Schulze, <i>Vandalene</i>. Düsseldorf: Eigenverlag, 2020.","apa":"Schulze, M. (2020). <i>Vandalene</i>. Eigenverlag.","chicago":"Schulze, Max. <i>Vandalene</i>. Düsseldorf: Eigenverlag, 2020.","short":"M. Schulze, Vandalene, Eigenverlag, Düsseldorf, 2020.","mla":"Schulze, Max. <i>Vandalene</i>. Eigenverlag, 2020.","bibtex":"@book{Schulze_2020, place={Düsseldorf}, title={Vandalene}, publisher={Eigenverlag}, author={Schulze, Max}, year={2020} }","ama":"Schulze M. <i>Vandalene</i>. Eigenverlag; 2020."},"place":"Düsseldorf","date_created":"2023-11-20T09:59:41Z","type":"book"},{"publication":"Proceedings of the Detection and Classification of Acoustic Scenes and Events 2020 Workshop (DCASE2020)","abstract":[{"lang":"eng","text":"In this paper we present our system for the detection and classification of acoustic scenes and events (DCASE) 2020 Challenge Task 4: Sound event detection and separation in domestic environments. We introduce two new models: the forward-backward convolutional recurrent neural network (FBCRNN) and the tag-conditioned convolutional neural network (CNN). The FBCRNN employs two recurrent neural network (RNN) classifiers sharing the same CNN for preprocessing. With one RNN processing a recording in forward direction and the other in backward direction, the two networks are trained to jointly predict audio tags, i.e., weak labels, at each time step within a recording, given that at each time step they have jointly processed the whole recording. The proposed training encourages the classifiers to tag events as soon as possible. Therefore, after training, the networks can be applied to shorter audio segments of, e.g., 200ms, allowing sound event detection (SED). Further, we propose a tag-conditioned CNN to complement SED. It is trained to predict strong labels while using (predicted) tags, i.e., weak labels, as additional input. For training pseudo strong labels from a FBCRNN ensemble are used. The presented system scored the fourth and third place in the systems and teams rankings, respectively. Subsequent improvements allow our system to even outperform the challenge baseline and winner systems in average by, respectively, 18.0% and 2.2% event-based F1-score on the validation set. Source code is publicly available at https://github.com/fgnt/pb_sed."}],"file":[{"relation":"main_file","date_updated":"2020-12-16T08:57:22Z","file_name":"DCASE2020Workshop_Ebbers_Paper.pdf","file_size":108326,"access_level":"open_access","file_id":"20754","content_type":"application/pdf","creator":"huesera","date_created":"2020-12-16T08:57:22Z"}],"date_created":"2020-12-16T08:55:27Z","type":"conference","department":[{"_id":"54"}],"title":"Forward-Backward Convolutional Recurrent Neural Networks and Tag-Conditioned Convolutional Neural Networks for Weakly Labeled Semi-Supervised Sound Event Detection","year":"2020","author":[{"first_name":"Janek","last_name":"Ebbers","full_name":"Ebbers, Janek","id":"34851"},{"id":"242","full_name":"Haeb-Umbach, Reinhold","last_name":"Haeb-Umbach","first_name":"Reinhold"}],"date_updated":"2023-11-22T08:27:32Z","language":[{"iso":"eng"}],"file_date_updated":"2020-12-16T08:57:22Z","citation":{"chicago":"Ebbers, Janek, and Reinhold Haeb-Umbach. “Forward-Backward Convolutional Recurrent Neural Networks and Tag-Conditioned Convolutional Neural Networks for Weakly Labeled Semi-Supervised Sound Event Detection.” In <i>Proceedings of the Detection and Classification of Acoustic Scenes and Events 2020 Workshop (DCASE2020)</i>, 2020.","short":"J. Ebbers, R. Haeb-Umbach, in: Proceedings of the Detection and Classification of Acoustic Scenes and Events 2020 Workshop (DCASE2020), 2020.","ieee":"J. Ebbers and R. Haeb-Umbach, “Forward-Backward Convolutional Recurrent Neural Networks and Tag-Conditioned Convolutional Neural Networks for Weakly Labeled Semi-Supervised Sound Event Detection,” 2020.","apa":"Ebbers, J., &#38; Haeb-Umbach, R. (2020). 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