[{"author":[{"full_name":"Weishäupl, Eva","first_name":"Eva","last_name":"Weishäupl"},{"full_name":"Yasasin, Emrah","last_name":"Yasasin","first_name":"Emrah"},{"id":"72850","first_name":"Guido","last_name":"Schryen","full_name":"Schryen, Guido"}],"title":"IT Security Investments Through the Lens of the Resource-Based View: A new Theoretical Model and Literature Review","status":"public","year":"2015","has_accepted_license":"1","date_updated":"2022-01-06T07:02:03Z","_id":"5589","language":[{"iso":"eng"}],"ddc":["000"],"user_id":"61579","citation":{"short":"E. Weishäupl, E. Yasasin, G. Schryen, in: 23rd European Conference on Information Systems (ECIS 2015), 2015.","chicago":"Weishäupl, Eva, Emrah Yasasin, and Guido Schryen. “IT Security Investments Through the Lens of the Resource-Based View: A New Theoretical Model and Literature Review.” In <i>23rd European Conference on Information Systems (ECIS 2015)</i>, 2015.","ieee":"E. Weishäupl, E. Yasasin, and G. Schryen, “IT Security Investments Through the Lens of the Resource-Based View: A new Theoretical Model and Literature Review,” in <i>23rd European Conference on Information Systems (ECIS 2015)</i>, 2015.","apa":"Weishäupl, E., Yasasin, E., &#38; Schryen, G. (2015). IT Security Investments Through the Lens of the Resource-Based View: A new Theoretical Model and Literature Review. In <i>23rd European Conference on Information Systems (ECIS 2015)</i>.","bibtex":"@inproceedings{Weishäupl_Yasasin_Schryen_2015, title={IT Security Investments Through the Lens of the Resource-Based View: A new Theoretical Model and Literature Review}, booktitle={23rd European Conference on Information Systems (ECIS 2015)}, author={Weishäupl, Eva and Yasasin, Emrah and Schryen, Guido}, year={2015} }","ama":"Weishäupl E, Yasasin E, Schryen G. IT Security Investments Through the Lens of the Resource-Based View: A new Theoretical Model and Literature Review. In: <i>23rd European Conference on Information Systems (ECIS 2015)</i>. ; 2015.","mla":"Weishäupl, Eva, et al. “IT Security Investments Through the Lens of the Resource-Based View: A New Theoretical Model and Literature Review.” <i>23rd European Conference on Information Systems (ECIS 2015)</i>, 2015."},"publication":"23rd European Conference on Information Systems (ECIS 2015)","file_date_updated":"2018-12-13T15:09:01Z","extern":"1","date_created":"2018-11-14T11:26:15Z","file":[{"relation":"main_file","date_updated":"2018-12-13T15:09:01Z","file_name":"ECIS - Proceedings version2.pdf","file_size":334025,"access_level":"open_access","file_id":"6035","content_type":"application/pdf","creator":"hsiemes","date_created":"2018-12-07T11:43:38Z"}],"oa":"1","department":[{"_id":"277"}],"type":"conference"},{"ddc":["000"],"user_id":"61579","_id":"5590","has_accepted_license":"1","status":"public","oa":"1","file_date_updated":"2018-12-13T15:09:54Z","citation":{"apa":"Weishäupl, E., Kunz, M., Yasasin, E., Wagner, G., Prester, J., Schryen, G., &#38; Pernul, G. (2015). Towards an Economic Approach to Identity and Access Management Systems Using Decision Theory. In <i>2nd International Workshop on Security in highly connected IT Systems (SHCIS?15)</i>.","ieee":"E. Weishäupl <i>et al.</i>, “Towards an Economic Approach to Identity and Access Management Systems Using Decision Theory,” in <i>2nd International Workshop on Security in highly connected IT Systems (SHCIS?15)</i>, 2015.","short":"E. Weishäupl, M. Kunz, E. Yasasin, G. Wagner, J. Prester, G. Schryen, G. Pernul, in: 2nd International Workshop on Security in Highly Connected IT Systems (SHCIS?15), 2015.","chicago":"Weishäupl, Eva, Michael Kunz, Emrah Yasasin, Gerit Wagner, Julian Prester, Guido Schryen, and Günther Pernul. “Towards an Economic Approach to Identity and Access Management Systems Using Decision Theory.” In <i>2nd International Workshop on Security in Highly Connected IT Systems (SHCIS?15)</i>, 2015.","mla":"Weishäupl, Eva, et al. “Towards an Economic Approach to Identity and Access Management Systems Using Decision Theory.” <i>2nd International Workshop on Security in Highly Connected IT Systems (SHCIS?15)</i>, 2015.","ama":"Weishäupl E, Kunz M, Yasasin E, et al. Towards an Economic Approach to Identity and Access Management Systems Using Decision Theory. In: <i>2nd International Workshop on Security in Highly Connected IT Systems (SHCIS?15)</i>. ; 2015.","bibtex":"@inproceedings{Weishäupl_Kunz_Yasasin_Wagner_Prester_Schryen_Pernul_2015, title={Towards an Economic Approach to Identity and Access Management Systems Using Decision Theory}, booktitle={2nd International Workshop on Security in highly connected IT Systems (SHCIS?15)}, author={Weishäupl, Eva and Kunz, Michael and Yasasin, Emrah and Wagner, Gerit and Prester, Julian and Schryen, Guido and Pernul, Günther}, year={2015} }"},"language":[{"iso":"eng"}],"date_updated":"2022-01-06T07:02:04Z","title":"Towards an Economic Approach to Identity and Access Management Systems Using Decision Theory","year":"2015","author":[{"full_name":"Weishäupl, Eva","last_name":"Weishäupl","first_name":"Eva"},{"full_name":"Kunz, Michael","last_name":"Kunz","first_name":"Michael"},{"last_name":"Yasasin","first_name":"Emrah","full_name":"Yasasin, Emrah"},{"first_name":"Gerit","last_name":"Wagner","full_name":"Wagner, Gerit"},{"last_name":"Prester","first_name":"Julian","full_name":"Prester, Julian"},{"id":"72850","full_name":"Schryen, Guido","first_name":"Guido","last_name":"Schryen"},{"last_name":"Pernul","first_name":"Günther","full_name":"Pernul, Günther"}],"type":"conference","keyword":["Identity and Access Management","Economic Decision Making","Information Systems","Information Security Investment","Decision Theory"],"department":[{"_id":"277"}],"file":[{"date_created":"2018-12-07T11:46:28Z","creator":"hsiemes","file_id":"6040","content_type":"application/pdf","file_name":"Towards an Economic Approach to IAMS.PDF","access_level":"open_access","file_size":166015,"relation":"main_file","date_updated":"2018-12-13T15:09:54Z"}],"date_created":"2018-11-14T11:27:20Z","abstract":[{"text":"Nowadays, providing employees with failure-free access to various systems, applications and services is a crucial factor for organizations? success as disturbances potentially inhibit smooth workflows and thereby harm productivity. However, it is a challenging task to assign access rights to employees? accounts within a satisfying time frame. In addition, the management of multiple accounts and identities can be very onerous and time consuming for the responsible administrator and therefore expensive for the organization. In order to meet these challenges, firms decide to invest in introducing an Identity and Access Management System (IAMS) that supports the organization by using policies to assign permissions to accounts, groups, and roles. In practice, since various versions of IAMSs exist, it is a challenging task to decide upon introduction of an IAMS. The following study proposes a first attempt of a decision support model for practitioners which considers four alternatives: Introduction of an IAMS with Role-based Access Control RBAC) or without and no introduction of IAMS again with or without RBAC. To underpin the practical applicability of the proposed model, we parametrize and operationalize it based on a real world use case using input from an expert interview.","lang":"eng"}],"extern":"1","publication":"2nd International Workshop on Security in highly connected IT Systems (SHCIS?15)"},{"language":[{"iso":"eng"}],"date_updated":"2022-01-06T07:02:09Z","author":[{"last_name":"Schryen","first_name":"Guido","full_name":"Schryen, Guido","id":"72850"},{"last_name":"Weishäupl","first_name":"Eva","full_name":"Weishäupl, Eva"}],"year":"2015","title":"IT-Sicherheit: Ökonomisch Planen und Bewerten","department":[{"_id":"277"}],"type":"journal_article","date_created":"2018-11-14T13:59:53Z","file":[{"creator":"hsiemes","date_created":"2018-12-07T11:46:04Z","access_level":"open_access","file_size":101976,"file_name":"MK-DigitalSecurity-2015_Schryen.pdf","date_updated":"2018-12-13T15:09:42Z","relation":"main_file","content_type":"application/pdf","file_id":"6039"}],"extern":"1","issue":"2","publication":"Managementkompass","ddc":["000"],"user_id":"61579","_id":"5616","publisher":"Frankfurt Business Media, Der F.A.Z.-Fachverlag","page":"17-18","has_accepted_license":"1","status":"public","oa":"1","citation":{"apa":"Schryen, G., &#38; Weishäupl, E. (2015). IT-Sicherheit: Ökonomisch Planen und Bewerten. <i>Managementkompass</i>, (2), 17–18.","ieee":"G. Schryen and E. Weishäupl, “IT-Sicherheit: Ökonomisch Planen und Bewerten,” <i>Managementkompass</i>, no. 2, pp. 17–18, 2015.","chicago":"Schryen, Guido, and Eva Weishäupl. “IT-Sicherheit: Ökonomisch Planen Und Bewerten.” <i>Managementkompass</i>, no. 2 (2015): 17–18.","short":"G. Schryen, E. Weishäupl, Managementkompass (2015) 17–18.","mla":"Schryen, Guido, and Eva Weishäupl. “IT-Sicherheit: Ökonomisch Planen Und Bewerten.” <i>Managementkompass</i>, no. 2, Frankfurt Business Media, Der F.A.Z.-Fachverlag, 2015, pp. 17–18.","ama":"Schryen G, Weishäupl E. IT-Sicherheit: Ökonomisch Planen und Bewerten. <i>Managementkompass</i>. 2015;(2):17-18.","bibtex":"@article{Schryen_Weishäupl_2015, title={IT-Sicherheit: Ökonomisch Planen und Bewerten}, number={2}, journal={Managementkompass}, publisher={Frankfurt Business Media, Der F.A.Z.-Fachverlag}, author={Schryen, Guido and Weishäupl, Eva}, year={2015}, pages={17–18} }"},"file_date_updated":"2018-12-13T15:09:42Z"},{"language":[{"iso":"eng"}],"date_updated":"2022-01-06T07:02:10Z","author":[{"id":"72850","last_name":"Schryen","first_name":"Guido","full_name":"Schryen, Guido"},{"first_name":"Gerit","last_name":"Wagner","full_name":"Wagner, Gerit"},{"first_name":"Alexander","last_name":"Benlian","full_name":"Benlian, Alexander"}],"year":"2015","title":"Theory of Knowledge for Literature Reviews: An Epistemological Model, Taxonomy and Empirical Analysis of IS Literature","department":[{"_id":"277"}],"type":"conference","keyword":["Literature review","Research methods/methodology","Theory of knowledge"],"date_created":"2018-11-14T14:01:13Z","file":[{"creator":"hsiemes","date_created":"2018-12-07T11:44:48Z","file_name":"ICIS PROCEEDINGS PAPER - Literature Reviews.pdf","access_level":"open_access","file_size":487102,"relation":"main_file","date_updated":"2018-12-13T15:09:22Z","file_id":"6037","content_type":"application/pdf"}],"extern":"1","abstract":[{"lang":"eng","text":"Literature reviews play an important role in the development of knowledge. Yet, we observe a lack of theoretical underpinning of and epistemological insights into how literature reviews can contribute to knowledge creation and have actually contributed in the IS discipline. To address these theoretical and empirical research gaps, we suggest a novel epistemological model of literature reviews. This model allows us to align different contributions of literature reviews with their underlying knowledge conversions - thereby building a bridge between the previously largely unconnected fields of literature reviews and epistemology. We evaluate the appropriateness of the model by conducting an empirical analysis of 173 IS literature reviews which were published in 39 pertinent IS journals between 2000 and 2014. Based on this analysis, we derive an epistemological taxonomy of IS literature reviews, which complements previously suggested typologies."}],"publication":"International Conference on Information Systems (ICIS)","user_id":"61579","ddc":["000"],"_id":"5618","has_accepted_license":"1","status":"public","oa":"1","citation":{"mla":"Schryen, Guido, et al. “Theory of Knowledge for Literature Reviews: An Epistemological Model, Taxonomy and Empirical Analysis of IS Literature.” <i>International Conference on Information Systems (ICIS)</i>, 2015.","bibtex":"@inproceedings{Schryen_Wagner_Benlian_2015, title={Theory of Knowledge for Literature Reviews: An Epistemological Model, Taxonomy and Empirical Analysis of IS Literature}, booktitle={International Conference on Information Systems (ICIS)}, author={Schryen, Guido and Wagner, Gerit and Benlian, Alexander}, year={2015} }","ama":"Schryen G, Wagner G, Benlian A. Theory of Knowledge for Literature Reviews: An Epistemological Model, Taxonomy and Empirical Analysis of IS Literature. In: <i>International Conference on Information Systems (ICIS)</i>. ; 2015.","ieee":"G. Schryen, G. Wagner, and A. Benlian, “Theory of Knowledge for Literature Reviews: An Epistemological Model, Taxonomy and Empirical Analysis of IS Literature,” in <i>International Conference on Information Systems (ICIS)</i>, 2015.","apa":"Schryen, G., Wagner, G., &#38; Benlian, A. (2015). Theory of Knowledge for Literature Reviews: An Epistemological Model, Taxonomy and Empirical Analysis of IS Literature. In <i>International Conference on Information Systems (ICIS)</i>.","short":"G. Schryen, G. Wagner, A. Benlian, in: International Conference on Information Systems (ICIS), 2015.","chicago":"Schryen, Guido, Gerit Wagner, and Alexander Benlian. “Theory of Knowledge for Literature Reviews: An Epistemological Model, Taxonomy and Empirical Analysis of IS Literature.” In <i>International Conference on Information Systems (ICIS)</i>, 2015."},"file_date_updated":"2018-12-13T15:09:22Z"},{"has_accepted_license":"1","status":"public","volume":57,"ddc":["000"],"user_id":"61579","publisher":"Springer","_id":"5622","page":"243-259","citation":{"mla":"Schryen, Guido, et al. “Resource Planning in Disaster Response - Decision Support Models and Methodologies.” <i>Business &#38; Information Systems Engineering (BISE)</i>, vol. 57, no. 4, Springer, 2015, pp. 243–59.","bibtex":"@article{Schryen_Rauchecker_Comes_2015, title={Resource Planning in Disaster Response - Decision Support Models and Methodologies}, volume={57}, number={4}, journal={Business &#38; Information Systems Engineering (BISE)}, publisher={Springer}, author={Schryen, Guido and Rauchecker, Gerhard and Comes, Martina}, year={2015}, pages={243–259} }","ama":"Schryen G, Rauchecker G, Comes M. Resource Planning in Disaster Response - Decision Support Models and Methodologies. <i>Business &#38; Information Systems Engineering (BISE)</i>. 2015;57(4):243-259.","ieee":"G. Schryen, G. Rauchecker, and M. Comes, “Resource Planning in Disaster Response - Decision Support Models and Methodologies,” <i>Business &#38; Information Systems Engineering (BISE)</i>, vol. 57, no. 4, pp. 243–259, 2015.","apa":"Schryen, G., Rauchecker, G., &#38; Comes, M. (2015). Resource Planning in Disaster Response - Decision Support Models and Methodologies. <i>Business &#38; Information Systems Engineering (BISE)</i>, <i>57</i>(4), 243–259.","chicago":"Schryen, Guido, Gerhard Rauchecker, and Martina Comes. “Resource Planning in Disaster Response - Decision Support Models and Methodologies.” <i>Business &#38; Information Systems Engineering (BISE)</i> 57, no. 4 (2015): 243–59.","short":"G. Schryen, G. Rauchecker, M. Comes, Business &#38; Information Systems Engineering (BISE) 57 (2015) 243–259."},"file_date_updated":"2018-12-13T15:08:39Z","oa":"1","intvolume":"        57","date_updated":"2022-01-06T07:02:12Z","author":[{"first_name":"Guido","last_name":"Schryen","full_name":"Schryen, Guido","id":"72850"},{"full_name":"Rauchecker, Gerhard","last_name":"Rauchecker","first_name":"Gerhard"},{"full_name":"Comes, Martina","last_name":"Comes","first_name":"Martina"}],"year":"2015","title":"Resource Planning in Disaster Response - Decision Support Models and Methodologies","language":[{"iso":"eng"}],"extern":"1","publication":"Business & Information Systems Engineering (BISE)","issue":"4","department":[{"_id":"277"}],"type":"journal_article","date_created":"2018-11-14T14:07:25Z","file":[{"content_type":"application/pdf","file_id":"6032","file_size":733154,"access_level":"open_access","file_name":"BISE Springer Paper.pdf","date_updated":"2018-12-13T15:08:39Z","relation":"main_file","date_created":"2018-12-07T11:42:18Z","creator":"hsiemes"}]},{"type":"journal_article","department":[{"_id":"277"}],"file":[{"date_created":"2018-12-07T11:46:54Z","creator":"hsiemes","file_id":"6041","content_type":"application/pdf","relation":"main_file","date_updated":"2018-12-13T15:10:32Z","file_name":"Writing Qualitative Is Literature Reviewsguidelines For Synthesis In.pdf","file_size":1048400,"access_level":"open_access"}],"date_created":"2018-11-14T14:26:59Z","extern":"1","publication":"Communications of the AIS","issue":"Art 12","language":[{"iso":"eng"}],"date_updated":"2022-01-06T07:02:15Z","intvolume":"        37","year":"2015","title":"Writing qualitative IS literature reviews ? Guidelines for synthesis, interpretation and guidance of research","author":[{"id":"72850","first_name":"Guido","last_name":"Schryen","full_name":"Schryen, Guido"}],"oa":"1","file_date_updated":"2018-12-13T15:10:32Z","citation":{"chicago":"Schryen, Guido. “Writing Qualitative IS Literature Reviews ? Guidelines for Synthesis, Interpretation and Guidance of Research.” <i>Communications of the AIS</i> 37, no. Art 12 (2015): 286–325.","short":"G. Schryen, Communications of the AIS 37 (2015) 286–325.","ieee":"G. Schryen, “Writing qualitative IS literature reviews ? Guidelines for synthesis, interpretation and guidance of research,” <i>Communications of the AIS</i>, vol. 37, no. Art 12, pp. 286–325, 2015.","apa":"Schryen, G. (2015). Writing qualitative IS literature reviews ? Guidelines for synthesis, interpretation and guidance of research. <i>Communications of the AIS</i>, <i>37</i>(Art 12), 286–325.","bibtex":"@article{Schryen_2015, title={Writing qualitative IS literature reviews ? Guidelines for synthesis, interpretation and guidance of research}, volume={37}, number={Art 12}, journal={Communications of the AIS}, publisher={Association for Information Systems (AIS); Association for Computing Machinery (ACM)}, author={Schryen, Guido}, year={2015}, pages={286–325} }","ama":"Schryen G. Writing qualitative IS literature reviews ? Guidelines for synthesis, interpretation and guidance of research. <i>Communications of the AIS</i>. 2015;37(Art 12):286-325.","mla":"Schryen, Guido. “Writing Qualitative IS Literature Reviews ? Guidelines for Synthesis, Interpretation and Guidance of Research.” <i>Communications of the AIS</i>, vol. 37, no. Art 12, Association for Information Systems (AIS); Association for Computing Machinery (ACM), 2015, pp. 286–325."},"ddc":["000"],"user_id":"61579","volume":37,"page":"286-325","publisher":"Association for Information Systems (AIS); Association for Computing Machinery (ACM)","_id":"5634","has_accepted_license":"1","status":"public"},{"related_material":{"link":[{"url":"https://groups.uni-paderborn.de/nt/pubs/2015/ChHa15_Poster.pdf","relation":"supplementary_material","description":"Poster"}]},"abstract":[{"lang":"eng","text":"Noise tracking is an important component of speech enhancement algorithms. Of the many noise trackers proposed, Minimum Statistics (MS) is a particularly popular one due to its simple parameterization and at the same time excellent performance. In this paper we propose to further reduce the number of MS parameters by giving an alternative derivation of an optimal smoothing constant. At the same time the noise tracking performance is improved as is demonstrated by experiments employing speech degraded by various noise types and at different SNR values."}],"publication":"Interspeech 2015","citation":{"chicago":"Chinaev, Aleksej, and Reinhold Haeb-Umbach. “On Optimal Smoothing in Minimum Statistics Based Noise Tracking.” In <i>Interspeech 2015</i>, 1785–89, 2015.","short":"A. Chinaev, R. Haeb-Umbach, in: Interspeech 2015, 2015, pp. 1785–1789.","ieee":"A. Chinaev and R. Haeb-Umbach, “On Optimal Smoothing in Minimum Statistics Based Noise Tracking,” in <i>Interspeech 2015</i>, 2015, pp. 1785–1789.","apa":"Chinaev, A., &#38; Haeb-Umbach, R. (2015). On Optimal Smoothing in Minimum Statistics Based Noise Tracking. In <i>Interspeech 2015</i> (pp. 1785–1789).","bibtex":"@inproceedings{Chinaev_Haeb-Umbach_2015, title={On Optimal Smoothing in Minimum Statistics Based Noise Tracking}, booktitle={Interspeech 2015}, author={Chinaev, Aleksej and Haeb-Umbach, Reinhold}, year={2015}, pages={1785–1789} }","ama":"Chinaev A, Haeb-Umbach R. On Optimal Smoothing in Minimum Statistics Based Noise Tracking. In: <i>Interspeech 2015</i>. ; 2015:1785-1789.","mla":"Chinaev, Aleksej, and Reinhold Haeb-Umbach. “On Optimal Smoothing in Minimum Statistics Based Noise Tracking.” <i>Interspeech 2015</i>, 2015, pp. 1785–89."},"keyword":["speech enhancement","noise tracking","optimal smoothing"],"type":"conference","department":[{"_id":"54"}],"oa":"1","date_created":"2019-07-12T05:27:19Z","date_updated":"2022-01-06T06:51:08Z","year":"2015","title":"On Optimal Smoothing in Minimum Statistics Based Noise Tracking","status":"public","author":[{"full_name":"Chinaev, Aleksej","first_name":"Aleksej","last_name":"Chinaev"},{"id":"242","full_name":"Haeb-Umbach, Reinhold","last_name":"Haeb-Umbach","first_name":"Reinhold"}],"user_id":"44006","page":"1785-1789","main_file_link":[{"url":"https://groups.uni-paderborn.de/nt/pubs/2015/ChHa15.pdf","open_access":"1"}],"_id":"11739","language":[{"iso":"eng"}]},{"date_created":"2019-07-12T05:27:30Z","type":"conference","oa":"1","department":[{"_id":"54"}],"publication":"INTERSPEECH 2015","citation":{"chicago":"Despotovic, Vladimir, Oliver Walter, and Reinhold Haeb-Umbach. “Semantic Analysis of Spoken Input Using Markov Logic Networks.” In <i>INTERSPEECH 2015</i>, 2015.","ama":"Despotovic V, Walter O, Haeb-Umbach R. Semantic Analysis of Spoken Input using Markov Logic Networks. In: <i>INTERSPEECH 2015</i>. ; 2015.","short":"V. Despotovic, O. Walter, R. Haeb-Umbach, in: INTERSPEECH 2015, 2015.","bibtex":"@inproceedings{Despotovic_Walter_Haeb-Umbach_2015, title={Semantic Analysis of Spoken Input using Markov Logic Networks}, booktitle={INTERSPEECH 2015}, author={Despotovic, Vladimir and Walter, Oliver and Haeb-Umbach, Reinhold}, year={2015} }","apa":"Despotovic, V., Walter, O., &#38; Haeb-Umbach, R. (2015). Semantic Analysis of Spoken Input using Markov Logic Networks. In <i>INTERSPEECH 2015</i>.","mla":"Despotovic, Vladimir, et al. “Semantic Analysis of Spoken Input Using Markov Logic Networks.” <i>INTERSPEECH 2015</i>, 2015.","ieee":"V. Despotovic, O. Walter, and R. Haeb-Umbach, “Semantic Analysis of Spoken Input using Markov Logic Networks,” in <i>INTERSPEECH 2015</i>, 2015."},"abstract":[{"text":"We present a semantic analysis technique for spoken input using Markov Logic Networks (MLNs). MLNs combine graphical models with first-order logic. They areparticularly suitable for providing inference in the presence of inconsistent and incomplete data, which are typical of an automatic speech recognizer's (ASR) output in the presence of degraded speech. The target application is a speech interface to a home automation system to be operated by people with speech impairments, where the ASR output is particularly noisy. In order to cater for dysarthric speech with non-canonical phoneme realizations, acoustic representations of the input speech are learned in an unsupervised fashion. While training data transcripts are not required for the acoustic model training, the MLN training requires supervision, however, at a rather loose and abstract level. Results on two databases, one of them for dysarthric speech, show that MLN-based semantic analysis clearly outperforms baseline approaches employing non-negative matrix factorization, multinomial naive Bayes models, or support vector machines.","lang":"eng"}],"related_material":{"link":[{"relation":"supplementary_material","url":"https://groups.uni-paderborn.de/nt/pubs/2015/DeWaHa_Poster.pdf","description":"Poster"}]},"main_file_link":[{"open_access":"1","url":"https://groups.uni-paderborn.de/nt/pubs/2015/DeWaHa.pdf"}],"language":[{"iso":"eng"}],"_id":"11748","user_id":"44006","year":"2015","title":"Semantic Analysis of Spoken Input using Markov Logic Networks","status":"public","author":[{"first_name":"Vladimir","last_name":"Despotovic","full_name":"Despotovic, Vladimir"},{"last_name":"Walter","first_name":"Oliver","full_name":"Walter, Oliver"},{"id":"242","last_name":"Haeb-Umbach","first_name":"Reinhold","full_name":"Haeb-Umbach, Reinhold"}],"date_updated":"2022-01-06T06:51:08Z"},{"main_file_link":[{"url":"https://groups.uni-paderborn.de/nt/pubs/2015/DrJaHa15.pdf","open_access":"1"}],"_id":"11755","language":[{"iso":"eng"}],"user_id":"44006","title":"DOA-Estimation based on a Complex Watson Kernel Method","year":"2015","status":"public","author":[{"id":"11213","full_name":"Drude, Lukas","first_name":"Lukas","last_name":"Drude"},{"full_name":"Jacob, Florian","first_name":"Florian","last_name":"Jacob"},{"first_name":"Reinhold","last_name":"Haeb-Umbach","full_name":"Haeb-Umbach, Reinhold","id":"242"}],"date_updated":"2022-01-06T06:51:08Z","date_created":"2019-07-12T05:27:38Z","type":"conference","department":[{"_id":"54"}],"oa":"1","publication":"23th European Signal Processing Conference (EUSIPCO 2015)","citation":{"chicago":"Drude, Lukas, Florian Jacob, and Reinhold Haeb-Umbach. “DOA-Estimation Based on a Complex Watson Kernel Method.” In <i>23th European Signal Processing Conference (EUSIPCO 2015)</i>, 2015.","short":"L. Drude, F. Jacob, R. Haeb-Umbach, in: 23th European Signal Processing Conference (EUSIPCO 2015), 2015.","ieee":"L. Drude, F. Jacob, and R. Haeb-Umbach, “DOA-Estimation based on a Complex Watson Kernel Method,” in <i>23th European Signal Processing Conference (EUSIPCO 2015)</i>, 2015.","apa":"Drude, L., Jacob, F., &#38; Haeb-Umbach, R. (2015). DOA-Estimation based on a Complex Watson Kernel Method. In <i>23th European Signal Processing Conference (EUSIPCO 2015)</i>.","bibtex":"@inproceedings{Drude_Jacob_Haeb-Umbach_2015, title={DOA-Estimation based on a Complex Watson Kernel Method}, booktitle={23th European Signal Processing Conference (EUSIPCO 2015)}, author={Drude, Lukas and Jacob, Florian and Haeb-Umbach, Reinhold}, year={2015} }","ama":"Drude L, Jacob F, Haeb-Umbach R. DOA-Estimation based on a Complex Watson Kernel Method. In: <i>23th European Signal Processing Conference (EUSIPCO 2015)</i>. ; 2015.","mla":"Drude, Lukas, et al. “DOA-Estimation Based on a Complex Watson Kernel Method.” <i>23th European Signal Processing Conference (EUSIPCO 2015)</i>, 2015."},"related_material":{"link":[{"relation":"supplementary_material","url":"https://groups.uni-paderborn.de/nt/pubs/2015/DrJaHa15_Presentation.pdf","description":"Presentation"}]},"abstract":[{"text":"This contribution presents a Direction of Arrival (DoA) estimation algorithm based on the complex Watson distribution to incorporate both phase and level differences of captured micro- phone array signals. The derived algorithm is reviewed in the context of the Generalized State Coherence Transform (GSCT) on the one hand and a kernel density estimation method on the other hand. A thorough simulative evaluation yields insight into parameter selection and provides details on the performance for both directional and omni-directional microphones. A comparison to the well known Steered Response Power with Phase Transform (SRP-PHAT) algorithm and a state of the art DoA estimator which explicitly accounts for aliasing, shows in particular the advantages of presented algorithm if inter-sensor level differences are indicative of the DoA, as with directional microphones.","lang":"eng"}]},{"status":"public","year":"2015","title":"Unsupervised adaptation of a denoising autoencoder by Bayesian Feature Enhancement for reverberant asr under mismatch conditions","author":[{"full_name":"Heymann, Jahn","last_name":"Heymann","first_name":"Jahn","id":"9168"},{"id":"242","first_name":"Reinhold","last_name":"Haeb-Umbach","full_name":"Haeb-Umbach, Reinhold"},{"full_name":"Golik, P.","first_name":"P.","last_name":"Golik"},{"first_name":"R.","last_name":"Schlueter","full_name":"Schlueter, R."}],"date_updated":"2022-01-06T06:51:09Z","main_file_link":[{"url":"https://groups.uni-paderborn.de/nt/pubs/2015/hey_icassp_2015.pdf","open_access":"1"}],"page":"5053-5057","_id":"11813","language":[{"iso":"eng"}],"user_id":"44006","doi":"10.1109/ICASSP.2015.7178933","publication":"Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on","citation":{"short":"J. Heymann, R. Haeb-Umbach, P. Golik, R. Schlueter, in: Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference On, 2015, pp. 5053–5057.","chicago":"Heymann, Jahn, Reinhold Haeb-Umbach, P. Golik, and R. Schlueter. “Unsupervised Adaptation of a Denoising Autoencoder by Bayesian Feature Enhancement for Reverberant Asr under Mismatch Conditions.” In <i>Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference On</i>, 5053–57, 2015. <a href=\"https://doi.org/10.1109/ICASSP.2015.7178933\">https://doi.org/10.1109/ICASSP.2015.7178933</a>.","ieee":"J. Heymann, R. Haeb-Umbach, P. Golik, and R. Schlueter, “Unsupervised adaptation of a denoising autoencoder by Bayesian Feature Enhancement for reverberant asr under mismatch conditions,” in <i>Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on</i>, 2015, pp. 5053–5057.","apa":"Heymann, J., Haeb-Umbach, R., Golik, P., &#38; Schlueter, R. (2015). Unsupervised adaptation of a denoising autoencoder by Bayesian Feature Enhancement for reverberant asr under mismatch conditions. In <i>Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on</i> (pp. 5053–5057). <a href=\"https://doi.org/10.1109/ICASSP.2015.7178933\">https://doi.org/10.1109/ICASSP.2015.7178933</a>","bibtex":"@inproceedings{Heymann_Haeb-Umbach_Golik_Schlueter_2015, title={Unsupervised adaptation of a denoising autoencoder by Bayesian Feature Enhancement for reverberant asr under mismatch conditions}, DOI={<a href=\"https://doi.org/10.1109/ICASSP.2015.7178933\">10.1109/ICASSP.2015.7178933</a>}, booktitle={Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on}, author={Heymann, Jahn and Haeb-Umbach, Reinhold and Golik, P. and Schlueter, R.}, year={2015}, pages={5053–5057} }","ama":"Heymann J, Haeb-Umbach R, Golik P, Schlueter R. Unsupervised adaptation of a denoising autoencoder by Bayesian Feature Enhancement for reverberant asr under mismatch conditions. In: <i>Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference On</i>. ; 2015:5053-5057. doi:<a href=\"https://doi.org/10.1109/ICASSP.2015.7178933\">10.1109/ICASSP.2015.7178933</a>","mla":"Heymann, Jahn, et al. “Unsupervised Adaptation of a Denoising Autoencoder by Bayesian Feature Enhancement for Reverberant Asr under Mismatch Conditions.” <i>Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference On</i>, 2015, pp. 5053–57, doi:<a href=\"https://doi.org/10.1109/ICASSP.2015.7178933\">10.1109/ICASSP.2015.7178933</a>."},"abstract":[{"text":"The parametric Bayesian Feature Enhancement (BFE) and a datadriven Denoising Autoencoder (DA) both bring performance gains in severe single-channel speech recognition conditions. The first can be adjusted to different conditions by an appropriate parameter setting, while the latter needs to be trained on conditions similar to the ones expected at decoding time, making it vulnerable to a mismatch between training and test conditions. We use a DNN backend and study reverberant ASR under three types of mismatch conditions: different room reverberation times, different speaker to microphone distances and the difference between artificially reverberated data and the recordings in a reverberant environment. We show that for these mismatch conditions BFE can provide the targets for a DA. This unsupervised adaptation provides a performance gain over the direct use of BFE and even enables to compensate for the mismatch of real and simulated reverberant data.","lang":"eng"}],"date_created":"2019-07-12T05:28:45Z","type":"conference","keyword":["codecs","signal denoising","speech recognition","Bayesian feature enhancement","denoising autoencoder","reverberant ASR","single-channel speech recognition","speaker to microphone distances","unsupervised adaptation","Adaptation models","Noise reduction","Reverberation","Speech","Speech recognition","Training","deep neuronal networks","denoising autoencoder","feature enhancement","robust speech recognition"],"department":[{"_id":"54"}],"oa":"1"},{"abstract":[{"lang":"eng","text":"Joint audio-visual speaker tracking requires that the locations of microphones and cameras are known and that they are given in a common coordinate system. Sensor self-localization algorithms, however, are usually separately developed for either the acoustic or the visual modality and return their positions in a modality specific coordinate system, often with an unknown rotation, scaling and translation between the two. In this paper we propose two techniques to determine the positions of acoustic sensors in a common coordinate system, based on audio-visual correlates, i.e., events that are localized by both, microphones and cameras separately. The first approach maps the output of an acoustic self-calibration algorithm by estimating rotation, scale and translation to the visual coordinate system, while the second solves a joint system of equations with acoustic and visual directions of arrival as input. The evaluation of the two strategies reveals that joint calibration outperforms the mapping approach and achieves an overall calibration error of 0.20m even in reverberant environments."}],"publication":"ArXiv e-prints","citation":{"short":"F. Jacob, R. Haeb-Umbach, ArXiv E-Prints (2015).","chicago":"Jacob, Florian, and Reinhold Haeb-Umbach. “Absolute Geometry Calibration of Distributed Microphone Arrays in an Audio-Visual Sensor Network.” <i>ArXiv E-Prints</i>, 2015.","apa":"Jacob, F., &#38; Haeb-Umbach, R. (2015). Absolute Geometry Calibration of Distributed Microphone Arrays in an Audio-Visual Sensor Network. <i>ArXiv E-Prints</i>.","ieee":"F. Jacob and R. Haeb-Umbach, “Absolute Geometry Calibration of Distributed Microphone Arrays in an Audio-Visual Sensor Network,” <i>ArXiv e-prints</i>, 2015.","ama":"Jacob F, Haeb-Umbach R. Absolute Geometry Calibration of Distributed Microphone Arrays in an Audio-Visual Sensor Network. <i>ArXiv e-prints</i>. 2015.","bibtex":"@article{Jacob_Haeb-Umbach_2015, title={Absolute Geometry Calibration of Distributed Microphone Arrays in an Audio-Visual Sensor Network}, journal={ArXiv e-prints}, author={Jacob, Florian and Haeb-Umbach, Reinhold}, year={2015} }","mla":"Jacob, Florian, and Reinhold Haeb-Umbach. “Absolute Geometry Calibration of Distributed Microphone Arrays in an Audio-Visual Sensor Network.” <i>ArXiv E-Prints</i>, 2015."},"type":"journal_article","oa":"1","department":[{"_id":"54"}],"date_created":"2019-07-12T05:29:05Z","date_updated":"2022-01-06T06:51:11Z","year":"2015","title":"Absolute Geometry Calibration of Distributed Microphone Arrays in an Audio-Visual Sensor Network","status":"public","author":[{"full_name":"Jacob, Florian","first_name":"Florian","last_name":"Jacob"},{"id":"242","last_name":"Haeb-Umbach","first_name":"Reinhold","full_name":"Haeb-Umbach, Reinhold"}],"user_id":"44006","main_file_link":[{"open_access":"1","url":"https://groups.uni-paderborn.de/nt/pubs/2015/JaHa2015.pdf"}],"_id":"11830","language":[{"iso":"eng"}]},{"related_material":{"link":[{"relation":"supplementary_material","url":"https://groups.uni-paderborn.de/nt/pubs/2015/RASR_Chap5.pdf","description":"Sample-Chapter"},{"description":"Store","url":"http://store.elsevier.com/9780128023983","relation":"supplementary_material"}]},"citation":{"mla":"Li, Jinyu, et al. <i>Robust Automatic Speech Recognition</i>. Elsevier, 2015.","ama":"Li J, Deng L, Haeb-Umbach R, Gong Y. <i>Robust Automatic Speech Recognition</i>. Elsevier; 2015.","bibtex":"@book{Li_Deng_Haeb-Umbach_Gong_2015, title={Robust Automatic Speech Recognition}, publisher={Elsevier}, author={Li, Jinyu and Deng, Li and Haeb-Umbach, Reinhold and Gong, Y.}, year={2015} }","apa":"Li, J., Deng, L., Haeb-Umbach, R., &#38; Gong, Y. (2015). <i>Robust Automatic Speech Recognition</i>. Elsevier.","ieee":"J. Li, L. Deng, R. Haeb-Umbach, and Y. Gong, <i>Robust Automatic Speech Recognition</i>. Elsevier, 2015.","short":"J. Li, L. Deng, R. Haeb-Umbach, Y. Gong, Robust Automatic Speech Recognition, Elsevier, 2015.","chicago":"Li, Jinyu, Li Deng, Reinhold Haeb-Umbach, and Y. Gong. <i>Robust Automatic Speech Recognition</i>. Elsevier, 2015."},"type":"book","oa":"1","department":[{"_id":"54"}],"date_created":"2019-07-12T05:29:49Z","date_updated":"2022-01-06T06:51:11Z","year":"2015","status":"public","title":"Robust Automatic Speech Recognition","author":[{"first_name":"Jinyu","last_name":"Li","full_name":"Li, Jinyu"},{"last_name":"Deng","first_name":"Li","full_name":"Deng, Li"},{"first_name":"Reinhold","last_name":"Haeb-Umbach","full_name":"Haeb-Umbach, Reinhold","id":"242"},{"full_name":"Gong, Y.","last_name":"Gong","first_name":"Y."}],"user_id":"44006","main_file_link":[{"url":"http://store.elsevier.com/Robust-Automatic-Speech-Recognition/Jinyu-Li/isbn-9780128023983/","open_access":"1"}],"_id":"11868","language":[{"iso":"eng"}],"publisher":"Elsevier"},{"user_id":"44006","_id":"11875","language":[{"iso":"eng"}],"main_file_link":[{"open_access":"1","url":"https://groups.uni-paderborn.de/nt/pubs/2015/MaScBaOfSvPrHa.pdf"}],"date_updated":"2022-01-06T06:51:11Z","author":[{"first_name":"Erik","last_name":"Marchi","full_name":"Marchi, Erik"},{"full_name":"Schuller, Bjoern","first_name":"Bjoern","last_name":"Schuller"},{"full_name":"Baron-Cohen, Simon","last_name":"Baron-Cohen","first_name":"Simon"},{"last_name":"Golan","first_name":"Ofer","full_name":"Golan, Ofer"},{"full_name":"Boelte, Sven","last_name":"Boelte","first_name":"Sven"},{"first_name":"Prerna","last_name":"Arora","full_name":"Arora, Prerna"},{"id":"242","full_name":"Haeb-Umbach, Reinhold","last_name":"Haeb-Umbach","first_name":"Reinhold"}],"title":"Typicality and Emotion in the Voice of Children with Autism Spectrum Condition: Evidence Across Three Languages","year":"2015","status":"public","department":[{"_id":"54"}],"oa":"1","type":"conference","date_created":"2019-07-12T05:29:57Z","abstract":[{"lang":"eng","text":"Only a few studies exist on automatic emotion analysis of speech from children with Autism Spectrum Conditions (ASC). Out of these, some preliminary studies have recently focused on comparing the relevance of selected prosodic features against large sets of acoustic, spectral, and cepstral features; however, no study so far provided a comparison of performances across different languages. The present contribution aims to fill this white spot in the literature and provide insight by extensive evaluations carried out on three databases of prompted phrases collected in English, Swedish, and Hebrew, inducing nine emotion categories embedded in short-stories. The datasets contain speech of children with ASC and typically developing children under the same conditions. We evaluate automatic diagnosis and recognition of emotions in atypical childrens voice over the nine categories including binary valence/arousal discrimination."}],"citation":{"mla":"Marchi, Erik, et al. “Typicality and Emotion in the Voice of Children with Autism Spectrum Condition: Evidence Across Three Languages.” <i>INTERSPEECH 2015</i>, 2015.","bibtex":"@inproceedings{Marchi_Schuller_Baron-Cohen_Golan_Boelte_Arora_Haeb-Umbach_2015, title={Typicality and Emotion in the Voice of Children with Autism Spectrum Condition: Evidence Across Three Languages}, booktitle={INTERSPEECH 2015}, author={Marchi, Erik and Schuller, Bjoern and Baron-Cohen, Simon and Golan, Ofer and Boelte, Sven and Arora, Prerna and Haeb-Umbach, Reinhold}, year={2015} }","ama":"Marchi E, Schuller B, Baron-Cohen S, et al. Typicality and Emotion in the Voice of Children with Autism Spectrum Condition: Evidence Across Three Languages. In: <i>INTERSPEECH 2015</i>. ; 2015.","ieee":"E. Marchi <i>et al.</i>, “Typicality and Emotion in the Voice of Children with Autism Spectrum Condition: Evidence Across Three Languages,” in <i>INTERSPEECH 2015</i>, 2015.","apa":"Marchi, E., Schuller, B., Baron-Cohen, S., Golan, O., Boelte, S., Arora, P., &#38; Haeb-Umbach, R. (2015). Typicality and Emotion in the Voice of Children with Autism Spectrum Condition: Evidence Across Three Languages. In <i>INTERSPEECH 2015</i>.","chicago":"Marchi, Erik, Bjoern Schuller, Simon Baron-Cohen, Ofer Golan, Sven Boelte, Prerna Arora, and Reinhold Haeb-Umbach. “Typicality and Emotion in the Voice of Children with Autism Spectrum Condition: Evidence Across Three Languages.” In <i>INTERSPEECH 2015</i>, 2015.","short":"E. Marchi, B. Schuller, S. Baron-Cohen, O. Golan, S. Boelte, P. Arora, R. Haeb-Umbach, in: INTERSPEECH 2015, 2015."},"publication":"INTERSPEECH 2015"},{"user_id":"44006","main_file_link":[{"open_access":"1","url":"https://groups.uni-paderborn.de/nt/pubs/2015/WaDrHa15.pdf"}],"_id":"11919","language":[{"iso":"eng"}],"date_updated":"2022-01-06T06:51:12Z","title":"Source Counting in Speech Mixtures by Nonparametric Bayesian Estimation of an infinite Gaussian Mixture Model","status":"public","year":"2015","author":[{"full_name":"Walter, Oliver","first_name":"Oliver","last_name":"Walter"},{"id":"11213","first_name":"Lukas","last_name":"Drude","full_name":"Drude, Lukas"},{"full_name":"Haeb-Umbach, Reinhold","last_name":"Haeb-Umbach","first_name":"Reinhold","id":"242"}],"type":"conference","oa":"1","department":[{"_id":"54"}],"date_created":"2019-07-12T05:30:47Z","related_material":{"link":[{"url":"https://groups.uni-paderborn.de/nt/pubs/2015/WaDrHa15_Poster.pdf","relation":"supplementary_material","description":"Poster"}]},"abstract":[{"text":"In this paper we present a source counting algorithm to determine the number of speakers in a speech mixture. In our proposed method, we model the histogram of estimated directions of arrival with a nonparametric Bayesian infinite Gaussian mixture model. As an alternative to classical model selection criteria and to avoid specifying the maximum number of mixture components in advance, a Dirichlet process prior is employed over the mixture components. This allows to automatically determine the optimal number of mixture components that most probably model the observations. We demonstrate by experiments that this model outperforms a parametric approach using a finite Gaussian mixture model with a Dirichlet distribution prior over the mixture weights.","lang":"eng"}],"publication":"40th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015)","citation":{"mla":"Walter, Oliver, et al. “Source Counting in Speech Mixtures by Nonparametric Bayesian Estimation of an Infinite Gaussian Mixture Model.” <i>40th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015)</i>, 2015.","bibtex":"@inproceedings{Walter_Drude_Haeb-Umbach_2015, title={Source Counting in Speech Mixtures by Nonparametric Bayesian Estimation of an infinite Gaussian Mixture Model}, booktitle={40th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015)}, author={Walter, Oliver and Drude, Lukas and Haeb-Umbach, Reinhold}, year={2015} }","ama":"Walter O, Drude L, Haeb-Umbach R. Source Counting in Speech Mixtures by Nonparametric Bayesian Estimation of an infinite Gaussian Mixture Model. In: <i>40th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015)</i>. ; 2015.","ieee":"O. Walter, L. Drude, and R. Haeb-Umbach, “Source Counting in Speech Mixtures by Nonparametric Bayesian Estimation of an infinite Gaussian Mixture Model,” in <i>40th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015)</i>, 2015.","apa":"Walter, O., Drude, L., &#38; Haeb-Umbach, R. (2015). Source Counting in Speech Mixtures by Nonparametric Bayesian Estimation of an infinite Gaussian Mixture Model. In <i>40th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015)</i>.","short":"O. Walter, L. Drude, R. Haeb-Umbach, in: 40th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015), 2015.","chicago":"Walter, Oliver, Lukas Drude, and Reinhold Haeb-Umbach. “Source Counting in Speech Mixtures by Nonparametric Bayesian Estimation of an Infinite Gaussian Mixture Model.” In <i>40th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015)</i>, 2015."}},{"date_updated":"2022-01-06T06:51:12Z","title":"Autonomous Learning of Representations","status":"public","year":"2015","author":[{"last_name":"Walter","first_name":"Oliver","full_name":"Walter, Oliver"},{"id":"242","full_name":"Haeb-Umbach, Reinhold","first_name":"Reinhold","last_name":"Haeb-Umbach"},{"full_name":"Mokbel, Bassam","last_name":"Mokbel","first_name":"Bassam"},{"last_name":"Paassen","first_name":"Benjamin","full_name":"Paassen, Benjamin"},{"full_name":"Hammer, Barbara","last_name":"Hammer","first_name":"Barbara"}],"user_id":"44006","doi":"http://dx.doi.org/10.1007/s13218-015-0372-1","main_file_link":[{"url":"https://groups.uni-paderborn.de/nt/pubs/2015/WaHaMoPaHa15.pdf","open_access":"1"}],"page":"1-13","_id":"11922","language":[{"iso":"eng"}],"abstract":[{"text":"Besides the core learning algorithm itself, one major question in machine learning is how to best encode given training data such that the learning technology can efficiently learn based thereon and generalize to novel data. While classical approaches often rely on a hand coded data representation, the topic of autonomous representation or feature learning plays a major role in modern learning architectures. The goal of this contribution is to give an overview about different principles of autonomous feature learning, and to exemplify two principles based on two recent examples: autonomous metric learning for sequences, and autonomous learning of a deep representation for spoken language, respectively.","lang":"eng"}],"publication":"KI - Kuenstliche Intelligenz","citation":{"bibtex":"@article{Walter_Haeb-Umbach_Mokbel_Paassen_Hammer_2015, title={Autonomous Learning of Representations}, DOI={<a href=\"http://dx.doi.org/10.1007/s13218-015-0372-1\">http://dx.doi.org/10.1007/s13218-015-0372-1</a>}, journal={KI - Kuenstliche Intelligenz}, author={Walter, Oliver and Haeb-Umbach, Reinhold and Mokbel, Bassam and Paassen, Benjamin and Hammer, Barbara}, year={2015}, pages={1–13} }","chicago":"Walter, Oliver, Reinhold Haeb-Umbach, Bassam Mokbel, Benjamin Paassen, and Barbara Hammer. “Autonomous Learning of Representations.” <i>KI - Kuenstliche Intelligenz</i>, 2015, 1–13. <a href=\"http://dx.doi.org/10.1007/s13218-015-0372-1\">http://dx.doi.org/10.1007/s13218-015-0372-1</a>.","short":"O. Walter, R. Haeb-Umbach, B. Mokbel, B. Paassen, B. Hammer, KI - Kuenstliche Intelligenz (2015) 1–13.","ama":"Walter O, Haeb-Umbach R, Mokbel B, Paassen B, Hammer B. Autonomous Learning of Representations. <i>KI - Kuenstliche Intelligenz</i>. 2015:1-13. doi:<a href=\"http://dx.doi.org/10.1007/s13218-015-0372-1\">http://dx.doi.org/10.1007/s13218-015-0372-1</a>","ieee":"O. Walter, R. Haeb-Umbach, B. Mokbel, B. Paassen, and B. Hammer, “Autonomous Learning of Representations,” <i>KI - Kuenstliche Intelligenz</i>, pp. 1–13, 2015.","mla":"Walter, Oliver, et al. “Autonomous Learning of Representations.” <i>KI - Kuenstliche Intelligenz</i>, 2015, pp. 1–13, doi:<a href=\"http://dx.doi.org/10.1007/s13218-015-0372-1\">http://dx.doi.org/10.1007/s13218-015-0372-1</a>.","apa":"Walter, O., Haeb-Umbach, R., Mokbel, B., Paassen, B., &#38; Hammer, B. (2015). Autonomous Learning of Representations. <i>KI - Kuenstliche Intelligenz</i>, 1–13. <a href=\"http://dx.doi.org/10.1007/s13218-015-0372-1\">http://dx.doi.org/10.1007/s13218-015-0372-1</a>"},"keyword":["Representation learning","Metric learning","Deep representation","Spoken language"],"type":"journal_article","department":[{"_id":"54"}],"oa":"1","date_created":"2019-07-12T05:30:51Z"},{"date_updated":"2022-01-06T06:51:12Z","title":"Lexicon Discovery for Language Preservation using Unsupervised Word Segmentation with Pitman-Yor Language Models (FGNT-2015-01)","status":"public","year":"2015","author":[{"first_name":"Oliver","last_name":"Walter","full_name":"Walter, Oliver"},{"id":"242","full_name":"Haeb-Umbach, Reinhold","last_name":"Haeb-Umbach","first_name":"Reinhold"},{"first_name":"Jan","last_name":"Strunk","full_name":"Strunk, Jan"},{"first_name":"Nikolaus ","last_name":"P. Himmelmann","full_name":"P. Himmelmann, Nikolaus "}],"user_id":"44006","main_file_link":[{"open_access":"1","url":"https://groups.uni-paderborn.de/nt/pubs/2015/WaHaStHi.pdf"}],"_id":"11923","language":[{"iso":"eng"}],"abstract":[{"text":"In this paper we show that recently developed algorithms for unsupervised word segmentation can be a valuable tool for the documentation of endangered languages. We applied an unsupervised word segmentation algorithm based on a nested Pitman-Yor language model to two austronesian languages, Wooi and Waima'a. The algorithm was then modified and parameterized to cater the needs of linguists for high precision of lexical discovery: We obtained a lexicon precision of of 69.2\\% and 67.5\\% for Wooi and Waima'a, respectively, if single-letter words and words found less than three times were discarded. A comparison with an English word segmentation task showed comparable performance, verifying that the assumptions underlying the Pitman-Yor language model, the universality of Zipf's law and the power of n-gram structures, do also hold for languages as exotic as Wooi and Waima'a.","lang":"eng"}],"citation":{"ieee":"O. Walter, R. Haeb-Umbach, J. Strunk, and N. P. Himmelmann, <i>Lexicon Discovery for Language Preservation using Unsupervised Word Segmentation with Pitman-Yor Language Models (FGNT-2015-01)</i>. 2015.","apa":"Walter, O., Haeb-Umbach, R., Strunk, J., &#38; P. Himmelmann, N. (2015). <i>Lexicon Discovery for Language Preservation using Unsupervised Word Segmentation with Pitman-Yor Language Models (FGNT-2015-01)</i>.","chicago":"Walter, Oliver, Reinhold Haeb-Umbach, Jan Strunk, and Nikolaus  P. Himmelmann. <i>Lexicon Discovery for Language Preservation Using Unsupervised Word Segmentation with Pitman-Yor Language Models (FGNT-2015-01)</i>, 2015.","short":"O. Walter, R. Haeb-Umbach, J. Strunk, N. P. Himmelmann, Lexicon Discovery for Language Preservation Using Unsupervised Word Segmentation with Pitman-Yor Language Models (FGNT-2015-01), 2015.","mla":"Walter, Oliver, et al. <i>Lexicon Discovery for Language Preservation Using Unsupervised Word Segmentation with Pitman-Yor Language Models (FGNT-2015-01)</i>. 2015.","bibtex":"@book{Walter_Haeb-Umbach_Strunk_P. Himmelmann_2015, title={Lexicon Discovery for Language Preservation using Unsupervised Word Segmentation with Pitman-Yor Language Models (FGNT-2015-01)}, author={Walter, Oliver and Haeb-Umbach, Reinhold and Strunk, Jan and P. Himmelmann, Nikolaus }, year={2015} }","ama":"Walter O, Haeb-Umbach R, Strunk J, P. Himmelmann N. <i>Lexicon Discovery for Language Preservation Using Unsupervised Word Segmentation with Pitman-Yor Language Models (FGNT-2015-01)</i>.; 2015."},"type":"report","department":[{"_id":"54"}],"oa":"1","date_created":"2019-07-12T05:30:52Z"},{"date_updated":"2022-01-06T06:52:40Z","status":"public","year":"2015","title":"How to Break XML Encryption -- Automatically","author":[{"full_name":"Kupser, Dennis","last_name":"Kupser","first_name":"Dennis"},{"full_name":"Mainka, Christian","first_name":"Christian","last_name":"Mainka"},{"full_name":"Schwenk, Jö","first_name":"Jö","last_name":"Schwenk"},{"id":"83504","orcid":"0000-0002-3593-7720","last_name":"Somorovsky","first_name":"Juraj","full_name":"Somorovsky, Juraj"}],"user_id":"83504","main_file_link":[{"url":"https://www.usenix.org/conference/woot15/workshop-program/presentation/kupser","open_access":"1"}],"_id":"15911","publisher":"{USENIX} Association","language":[{"iso":"eng"}],"extern":"1","publication":"9th {USENIX} Workshop on Offensive Technologies ({WOOT} 15)","citation":{"ieee":"D. Kupser, C. Mainka, J. Schwenk, and J. Somorovsky, “How to Break XML Encryption -- Automatically,” in <i>9th {USENIX} Workshop on Offensive Technologies ({WOOT} 15)</i>, 2015.","apa":"Kupser, D., Mainka, C., Schwenk, J., &#38; Somorovsky, J. (2015). How to Break XML Encryption -- Automatically. In <i>9th {USENIX} Workshop on Offensive Technologies ({WOOT} 15)</i>. 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