@inproceedings{23997,
  author       = {{Chinaev, Aleksej and Enzner, Gerald and Gburrek, Tobias and Schmalenstroeer, Joerg}},
  booktitle    = {{29th European Signal Processing Conference (EUSIPCO)}},
  pages        = {{1--5}},
  title        = {{{Online Estimation of Sampling Rate Offsets in Wireless Acoustic Sensor Networks with Packet Loss}}},
  year         = {{2021}},
}

@misc{49017,
  author       = {{Moritz, Tilman}},
  booktitle    = {{sehepunkte}},
  number       = {{10}},
  title        = {{{A. Seidler, I. Monok (Hgg.): Reformation und Bücher. Zentren der Ideen – Zentren der Buchproduktion. Wiesbaden 2020}}},
  volume       = {{21}},
  year         = {{2021}},
}

@inproceedings{29304,
  abstract     = {{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       = {{Ebbers, Janek and Kuhlmann, Michael and Cord-Landwehr, Tobias and Haeb-Umbach, Reinhold}},
  booktitle    = {{Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}},
  pages        = {{3860–3864}},
  title        = {{{Contrastive Predictive Coding Supported Factorized Variational Autoencoder for Unsupervised Learning of Disentangled Speech Representations}}},
  year         = {{2021}},
}

@inproceedings{22894,
  abstract     = {{The first order optimality conditions of optimal control problems (OCPs) can
be regarded as boundary value problems for Hamiltonian systems. Variational or
symplectic discretisation methods are classically known for their excellent
long term behaviour. As boundary value problems are posed on intervals of
fixed, moderate length, it is not immediately clear whether methods can profit
from structure preservation in this context. When parameters are present,
solutions can undergo bifurcations, for instance, two solutions can merge and
annihilate one another as parameters are varied. We will show that generic
bifurcations of an OCP are preserved under discretisation when the OCP is
either directly discretised to a discrete OCP (direct method) or translated
into a Hamiltonian boundary value problem using first order necessary
conditions of optimality which is then solved using a symplectic integrator
(indirect method). Moreover, certain bifurcations break when a non-symplectic
scheme is used. The general phenomenon is illustrated on the example of a cut
locus of an ellipsoid.}},
  author       = {{Offen, Christian and Ober-Blöbaum, Sina}},
  issn         = {{2405-8963}},
  keywords     = {{optimal control, catastrophe theory, bifurcations, variational methods, symplectic integrators}},
  location     = {{Berlin, Germany}},
  pages        = {{334--339}},
  title        = {{{Bifurcation preserving discretisations of optimal control problems}}},
  doi          = {{https://doi.org/10.1016/j.ifacol.2021.11.099}},
  volume       = {{54(19)}},
  year         = {{2021}},
}

@article{47964,
  abstract     = {{In the last two decades, variably doped strontium barium niobate (SBN) has attracted a lot of scientific interest mainly due to its specific non-linear optical response. Comparably, the parental compound, i.e., undoped SBN, appears to be less studied so far. Here, two different cuts of single-crystalline nominally pure strontium barium niobate in the composition Sr0.61Ba0.39Nb2O6 (SBN61) are comprehensively studied and analyzed with regard to their photoconductive responses. We present conductance measurements under systematically varied illumination conditions along either the polar z-axis or perpendicular to it (x-cut). Apart from a pronounced photoconductance (PC) already under daylight and a large effect upon super-bandgap illumination in general, we observe (i) distinct spectral features when sweeping the excitation wavelength over the sub-bandgap region as then discussed in the context of deep and shallow trap states, (ii) extremely slow long-term relaxation for both light-on and light-off transients in the range of hours and days, (iii) a critical dependence of the photoresponse on the pre-illumination history of the sample, and (iv) a current–voltage hysteresis depending on both the illumination and the electrical-measurement conditions in a complex manner.}},
  author       = {{Beyreuther, Elke and Ratzenberger, Julius and Roeper, Matthias and Kirbus, Benjamin and Rüsing, Michael and Ivleva, Liudmila I. and Eng, Lukas M.}},
  issn         = {{2073-4352}},
  journal      = {{Crystals}},
  keywords     = {{Inorganic Chemistry, Condensed Matter Physics, General Materials Science, General Chemical Engineering}},
  number       = {{7}},
  publisher    = {{MDPI AG}},
  title        = {{{Photoconduction of Polar and Nonpolar Cuts of Undoped Sr0.61Ba0.39Nb2O6 Single Crystals}}},
  doi          = {{10.3390/cryst11070780}},
  volume       = {{11}},
  year         = {{2021}},
}

@inproceedings{26770,
  abstract     = {{Automatic transcription of meetings requires handling of overlapped speech, which calls for continuous speech separation (CSS) systems. The uPIT criterion was proposed for utterance-level separation with neural networks and introduces the constraint that the total number of speakers must not exceed the number of output channels. When processing meeting-like data in a segment-wise manner, i.e., by separating overlapping segments independently and stitching adjacent segments to continuous output streams, this constraint has to be fulfilled for any segment. In this contribution, we show that this constraint can be significantly relaxed. We propose a novel graph-based PIT criterion, which casts the assignment of utterances to output channels in a graph coloring problem. It only requires that the number of concurrently active speakers must not exceed the number of output channels. As a consequence, the system can process an arbitrary number of speakers and arbitrarily long segments and thus can handle more diverse scenarios.
Further, the stitching algorithm for obtaining a consistent output order in neighboring segments is of less importance and can even be eliminated completely, not the least reducing the computational effort. Experiments on meeting-style WSJ data show improvements in recognition performance over using the uPIT criterion. }},
  author       = {{von Neumann, Thilo and Kinoshita, Keisuke and Boeddeker, Christoph and Delcroix, Marc and Haeb-Umbach, Reinhold}},
  booktitle    = {{Interspeech 2021}},
  keywords     = {{Continuous speech separation, automatic speech recognition, overlapped speech, permutation invariant training}},
  title        = {{{Graph-PIT: Generalized Permutation Invariant Training for Continuous Separation of Arbitrary Numbers of Speakers}}},
  doi          = {{10.21437/interspeech.2021-1177}},
  year         = {{2021}},
}

@inproceedings{29173,
  author       = {{von Neumann, Thilo and Boeddeker, Christoph and Kinoshita, Keisuke and Delcroix, Marc and Haeb-Umbach, Reinhold}},
  booktitle    = {{Speech Communication; 14th ITG Conference}},
  location     = {{Kiel}},
  title        = {{{Speeding Up Permutation Invariant Training for Source Separation}}},
  year         = {{2021}},
}

@inproceedings{29308,
  abstract     = {{In this paper we present our system for the Detection and Classification of Acoustic Scenes and Events (DCASE) 2021 Challenge Task 4: Sound Event Detection and Separation in Domestic Environments, where it scored the fourth rank. Our presented solution is an advancement of our system used in the previous edition of the task.We use a forward-backward convolutional recurrent neural network (FBCRNN) for tagging and pseudo labeling followed by tag-conditioned sound event detection (SED) models which are trained using strong pseudo labels provided by the FBCRNN. Our advancement over our earlier model is threefold. First, we introduce a strong label loss in the objective of the FBCRNN to take advantage of the strongly labeled synthetic data during training. Second, we perform multiple iterations of self-training for both the FBCRNN and tag-conditioned SED models. Third, while we used only tag-conditioned CNNs as our SED model in the previous edition we here explore sophisticated tag-conditioned SED model architectures, namely, bidirectional CRNNs and bidirectional convolutional transformer neural networks (CTNNs), and combine them. With metric and class specific tuning of median filter lengths for post-processing, our final SED model, consisting of 6 submodels (2 of each architecture), achieves on the public evaluation set poly-phonic sound event detection scores (PSDS) of 0.455 for scenario 1 and 0.684 for scenario as well as a collar-based F1-score of 0.596 outperforming the baselines and our model from the previous edition by far. Source code is publicly available at https://github.com/fgnt/pb_sed.}},
  author       = {{Ebbers, Janek and Haeb-Umbach, Reinhold}},
  booktitle    = {{Proceedings of the 6th Detection and Classification of Acoustic Scenes and Events 2021 Workshop (DCASE2021)}},
  isbn         = {{978-84-09-36072-7}},
  pages        = {{226–230}},
  title        = {{{Self-Trained Audio Tagging and Sound Event Detection in Domestic Environments}}},
  year         = {{2021}},
}

@inproceedings{29306,
  abstract     = {{Recently, there has been a rising interest in sound recognition via Acoustic Sensor Networks to support applications such as ambient assisted living or environmental habitat monitoring. With state-of-the-art sound recognition being dominated by deep-learning-based approaches, there is a high demand for labeled training data. Despite the availability of large-scale  data sets such as Google's AudioSet, acquiring training data matching a certain application environment is still often a problem. In this paper we are concerned with human activity monitoring in a domestic environment using an ASN consisting of multiple nodes each providing multichannel signals. We propose a self-training based domain adaptation approach, which only requires unlabeled data from the target environment. Here, a sound recognition system trained on AudioSet, the teacher, generates pseudo labels for data from the target environment on which a student network is trained. The student can furthermore glean information about the spatial arrangement of sensors and sound sources to further improve classification performance. It is shown that  the student significantly improves recognition performance over the pre-trained teacher without relying on labeled data from the environment the system is deployed in.}},
  author       = {{Ebbers, Janek and Keyser, Moritz Curt and Haeb-Umbach, Reinhold}},
  booktitle    = {{Proceedings of the 29th European Signal Processing Conference (EUSIPCO)}},
  pages        = {{1135–1139}},
  title        = {{{Adapting Sound Recognition to A New Environment Via Self-Training}}},
  year         = {{2021}},
}

@inbook{47957,
  author       = {{Schneider, Jennifer Nicole}},
  booktitle    = {{Fostering Digitisation and Industry 4.0: Education – Vocation - Industry – Future. New Opportunities and Challenges for European VET. Insights in the DigI-VET Project}},
  editor       = {{Beutner, Marc  and Pechuel, Rasmus and Schneider, Jennifer }},
  pages        = {{57 -- 62 }},
  title        = {{{Digital transformation in industry}}},
  year         = {{2021}},
}

@inbook{47966,
  author       = {{Schneider, Jennifer }},
  booktitle    = {{Fostering Digitisation and Industry 4.0: Education – Vocation - Industry – Future. New Opportunities and Challenges for European VET. Insights in the DigI-VET Project}},
  editor       = {{Beutner, Marc  and Pechuel, Rasmus and Schneider, Jennifer}},
  pages        = {{150 -- 165}},
  title        = {{{Teaching and Learning Materials}}},
  year         = {{2021}},
}

@article{24456,
  abstract     = {{One objective of current research in explainable intelligent systems is to implement social aspects in order to increase the relevance of explanations. In this paper, we argue that a novel conceptual framework is needed to overcome shortcomings of existing AI systems with little attention to processes of interaction and learning. Drawing from research in interaction and development, we first outline the novel conceptual framework that pushes the design of AI systems toward true interactivity with an emphasis on the role of the partner and social relevance. We propose that AI systems will be able to provide a meaningful and relevant explanation only if the process of explaining is extended to active contribution of both partners that brings about dynamics that is modulated by different levels of analysis. Accordingly, our conceptual framework comprises monitoring and scaffolding as key concepts and claims that the process of explaining is not only modulated by the interaction between explainee and explainer but is embedded into a larger social context in which conventionalized and routinized behaviors are established. We discuss our conceptual framework in relation to the established objectives of transparency and autonomy that are raised for the design of explainable AI systems currently.}},
  author       = {{Rohlfing, Katharina J. and Cimiano, Philipp and Scharlau, Ingrid and Matzner, Tobias and Buhl, Heike M. and Buschmeier, Hendrik and Esposito, Elena and Grimminger, Angela and Hammer, Barbara and Haeb-Umbach, Reinhold and Horwath, Ilona and Hüllermeier, Eyke and Kern, Friederike and Kopp, Stefan and Thommes, Kirsten and Ngonga Ngomo, Axel-Cyrille and Schulte, Carsten and Wachsmuth, Henning and Wagner, Petra and Wrede, Britta}},
  issn         = {{2379-8920}},
  journal      = {{IEEE Transactions on Cognitive and Developmental Systems}},
  keywords     = {{Explainability, process ofexplaining andunderstanding, explainable artificial systems}},
  number       = {{3}},
  pages        = {{717--728}},
  title        = {{{Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems}}},
  doi          = {{10.1109/tcds.2020.3044366}},
  volume       = {{13}},
  year         = {{2021}},
}

@misc{49589,
  author       = {{Fastlabend-Vargas, Daniel}},
  booktitle    = {{H-Soz-Kult }},
  title        = {{{Rezension zu: Dräger, Marco: Denkmäler im Geschichtsunterricht Frankfurt am Main 2021.}}},
  year         = {{2021}},
}

@article{23469,
  abstract     = {{The implementation of control systems in metal forming processes improves product quality and productivity. By controlling workpiece properties during the process, beneficial effects caused by forming can be exploited and integrated in the product design. The overall goal of this investigation is to produce tailored tubular parts with a defined locally graded microstructure by means of reverse flow forming. For this purpose, the proposed system aims to control both the desired geometry of the workpiece and additionally the formation of strain-induced α′-martensite content in the metastable austenitic stainless steel AISI 304 L. The paper introduces an overall control scheme, a geometry model for describing the process and changes in the dimensions of the workpiece, as well as a material model for the process-induced formation of martensite, providing equations based on empirical data. Moreover, measurement systems providing a closed feedback loop are presented, including a novel softsensor for in-situ measurements of the martensite content.}},
  author       = {{Riepold, Markus and Arian, Bahman and Vasquez, Julian Rozo and Homberg, Werner and Walther, Frank and Trächtler, Ansgar}},
  issn         = {{2666-9129}},
  journal      = {{Advances in Industrial and Manufacturing Engineering}},
  title        = {{{Model approaches for closed-loop property control for flow forming}}},
  doi          = {{10.1016/j.aime.2021.100057}},
  year         = {{2021}},
}

@misc{49759,
  author       = {{Huybrechts, Yves and Scholliers, Peter}},
  publisher    = {{BelgienNet}},
  title        = {{{"Searching for a Belgian culinary identity - Referat von Prof. Dr. Peter Scholliers" (VIDEO)}}},
  year         = {{2021}},
}

@misc{49765,
  author       = {{Huybrechts, Yves}},
  publisher    = {{BelgienNet}},
  title        = {{{"Der belgische Symbolismus - Interview mit dem Direktor der Alten Nationalgalerie, Dr. Ralph Gleis" (PODCAST)}}},
  year         = {{2021}},
}

@misc{49752,
  author       = {{Huybrechts, Yves}},
  publisher    = {{BelgienNet}},
  title        = {{{"Gebaute Träume - Wohnkultur in Flandern und Wallonien" (VIDEO)}}},
  year         = {{2021}},
}

@inbook{49867,
  author       = {{Neiske, Iris}},
  booktitle    = {{Inverted Classroom and beyond 2021 10 Jahre #icmbeyond. Norderstedt}},
  editor       = {{Buchner, J. and Freisleben-Teutscher, C. F. and Neiske, I. and Morisse, I.}},
  isbn         = {{9783755749165}},
  pages        = {{140--148}},
  title        = {{{Geflippte E-Tutor*innenschulungen}}},
  year         = {{2021}},
}

@article{28696,
  abstract     = {{The aim of the present study is to bring new momentum into research on students’
understanding of academic writing. Drawing on the idea that metaphors give insight into
implicit conceptions of abstract entities and processes, we developed a detailed and
differentiated set of conceptual metaphors that can be used to study student ideas about
writing in research, teaching, and interventions. A large sample of undergraduates produced
their everyday understanding of writing in short texts beginning with a self-generated
metaphor. Based on theories from cognitive linguistics, the conceptual metaphors in their
texts were analyzed in terms of their action quality (transitivity) and spatiality (spatial
primitives). The undergraduates’ conceptualizations were very heterogeneous. Most
metaphors depart strongly from scientific approaches to academic writing within cognitive
psychology and sociocultural theory. Roughly half of the metaphors could be collated to one
of four metaphor systems. Depending on the desired degree of abstraction or concreteness,
conceptual metaphors or metaphor systems can be employed in further studies to illuminate
thinking about writing.}},
  author       = {{Scharlau, Ingrid and Karsten, Andrea and Rohlfing, Katharina}},
  issn         = {{2030-1006}},
  journal      = {{Journal of Writing Research}},
  keywords     = {{metaphor analysis, academic writing, transitivity, spatial primitives}},
  number       = {{3}},
  pages        = {{493--529}},
  title        = {{{Building, emptying out, or dreaming? Action structures and space in undergraduates’ metaphors of academic writing}}},
  doi          = {{10.17239/jowr-2021.12.03.01}},
  volume       = {{12}},
  year         = {{2021}},
}

@article{45252,
  author       = {{Krollmann, Rabea and Schmidt, Rebecca and Spill, Annika}},
  journal      = {{blog interdisziplinäre geschlechterforschung}},
  title        = {{{Grenzüberschreitung und Distanzierung – Geschlechterforschung in universitären Toiletten}}},
  doi          = {{10.17185/GENDER/20210126}},
  year         = {{2021}},
}

