@article{11840,
  author       = {{Kinoshita, Keisuke and Delcroix, Marc and Gannot, Sharon and Habets, Emanuel A. P. and Haeb-Umbach, Reinhold and Kellermann, Walter and Leutnant, Volker and Maas, Roland and Nakatani, Tomohiro and Raj, Bhiksha and Sehr, Armin and Yoshioka, Takuya}},
  journal      = {{EURASIP Journal on Advances in Signal Processing}},
  title        = {{{A summary of the REVERB challenge: state-of-the-art and remaining challenges in reverberant speech processing research}}},
  year         = {{2016}},
}

@article{11886,
  abstract     = {{Today, we are often surrounded by devices with one or more microphones, such as smartphones, laptops, and wireless microphones. If they are part of an acoustic sensor network, their distribution in the environment can be beneficially exploited for various speech processing tasks. However, applications like speaker localization, speaker tracking, and speech enhancement by beamforming avail themselves of the geometrical configuration of the sensors. Therefore, acoustic microphone geometry calibration has recently become a very active field of research. This article provides an application-oriented, comprehensive survey of existing methods for microphone position self-calibration, which will be categorized by the measurements they use and the scenarios they can calibrate. Selected methods will be evaluated comparatively with real-world recordings.}},
  author       = {{Plinge, Axel and Jacob, Florian and Haeb-Umbach, Reinhold and Fink, Gernot A.}},
  issn         = {{1053-5888}},
  journal      = {{IEEE Signal Processing Magazine}},
  keywords     = {{Acoustic sensors, Microphones, Portable computers, Smart phones, Wireless communication, Wireless sensor networks}},
  number       = {{4}},
  pages        = {{14--29}},
  title        = {{{Acoustic Microphone Geometry Calibration: An overview and experimental evaluation of state-of-the-art algorithms}}},
  doi          = {{10.1109/MSP.2016.2555198}},
  volume       = {{33}},
  year         = {{2016}},
}

@phdthesis{1190,
  author       = {{Isenberg, Tobias}},
  publisher    = {{Universität Paderborn}},
  title        = {{{Induction-based Verification of Timed Systems}}},
  year         = {{2016}},
}

@inproceedings{11908,
  abstract     = {{This paper describes automatic speech recognition (ASR) systems developed jointly by RWTH, UPB and FORTH for the 1ch, 2ch and 6ch track of the 4th CHiME Challenge. In the 2ch and 6ch tracks the final system output is obtained by a Confusion Network Combination (CNC) of multiple systems. The Acoustic Model (AM) is a deep neural network based on Bidirectional Long Short-Term Memory (BLSTM) units. The systems differ by front ends and training sets used for the acoustic training. The model for the 1ch track is trained without any preprocessing. For each front end we trained and evaluated individual acoustic models. We compare the ASR performance of different beamforming approaches: a conventional superdirective beamformer [1] and an MVDR beamformer as in [2], where the steering vector is estimated based on [3]. Furthermore we evaluated a BLSTM supported Generalized Eigenvalue beamformer using NN-GEV [4]. The back end is implemented using RWTH?s open-source toolkits RASR [5], RETURNN [6] and rwthlm [7]. We rescore lattices with a Long Short-Term Memory (LSTM) based language model. The overall best results are obtained by a system combination that includes the lattices from the system of UPB?s submission [8]. Our final submission scored second in each of the three tracks of the 4th CHiME Challenge.}},
  author       = {{Menne, Tobias and Heymann, Jahn and Alexandridis, Anastasios and Irie, Kazuki and Zeyer, Albert and Kitza, Markus and Golik, Pavel and Kulikov, Ilia and Drude, Lukas and Schlüter, Ralf and Ney, Hermann and Haeb-Umbach, Reinhold and Mouchtaris, Athanasios}},
  booktitle    = {{Computer Speech and Language}},
  title        = {{{The RWTH/UPB/FORTH System Combination for the 4th CHiME Challenge Evaluation}}},
  year         = {{2016}},
}

@inproceedings{11920,
  abstract     = {{In this paper we demonstrate an algorithm to learn words from speech using non-parametric Bayesian hierarchical models in an unsupervised setting. We exploit the assumption of a hierarchical structure of speech, namely the formation of spoken words as a sequence of phonemes. We employ the Nested Hierarchical Pitman-Yor Language Model, which allows an a priori unknown and possibly unlimited number of words. We assume the n-gram probabilities of words, the m-gram probabilities of phoneme sequences in words and the phoneme sequences of the words themselves as latent variables to be learned. We evaluate the algorithm on a cross language task using an existing speech recognizer trained on English speech to decode speech in the Xitsonga language supplied for the 2015 ZeroSpeech challenge. We apply the learning algorithm on the resulting phoneme graphs and achieve the highest token precision and F score compared to present systems.}},
  author       = {{Walter, Oliver and Haeb-Umbach, Reinhold}},
  booktitle    = {{38th German Conference on Pattern Recognition (GCPR 2016)}},
  title        = {{{Unsupervised Word Discovery from Speech using Bayesian Hierarchical Models}}},
  year         = {{2016}},
}

@inproceedings{11975,
  author       = {{Blobel, Johannes and Sommer, Christoph and Dressler, Falko}},
  booktitle    = {{2016 IEEE International Conference on Communications (ICC)}},
  isbn         = {{9781479966646}},
  title        = {{{Protocol options for low power sensor network MAC using wake-up receivers with duty cycling}}},
  doi          = {{10.1109/icc.2016.7511318}},
  year         = {{2016}},
}

@inproceedings{11988,
  author       = {{Campolo, Claudia and Sommer, Christoph and Dressler, Falko and Molinaro, Antonella}},
  booktitle    = {{2016 IEEE International Conference on Communications (ICC)}},
  isbn         = {{9781479966646}},
  title        = {{{On the impact of adjacent channel interference in multi-channel VANETs}}},
  doi          = {{10.1109/icc.2016.7511085}},
  year         = {{2016}},
}

@inproceedings{12011,
  author       = {{Hagenauer, Florian and Sommer, Christoph and Merschjohann, Simon and Higuchi, Takamasa and Dressler, Falko and Altintas, Onur}},
  booktitle    = {{2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)}},
  isbn         = {{9781467399555}},
  title        = {{{Cars as the base for service discovery and provision in highly dynamic networks}}},
  doi          = {{10.1109/infcomw.2016.7562101}},
  year         = {{2016}},
}

@inproceedings{12012,
  author       = {{Hagenauer, Florian and Sommer, Christoph and Onishi, Ryokichi and Wilhelm, Matthias and Dressler, Falko and Altintas, Onur}},
  booktitle    = {{2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)}},
  isbn         = {{9781467399555}},
  title        = {{{Interconnecting smart cities by vehicles: How feasible is it?}}},
  doi          = {{10.1109/infcomw.2016.7562184}},
  year         = {{2016}},
}

@inbook{12013,
  author       = {{Hagenauer, F. and Dressler, F. and Altintas, O. and Sommer, Christoph}},
  booktitle    = {{Smart Cities and Homes}},
  isbn         = {{9780128034545}},
  title        = {{{Cars as a main ICT resource of smart cities}}},
  doi          = {{10.1016/b978-0-12-803454-5.00007-9}},
  year         = {{2016}},
}

@inproceedings{12029,
  author       = {{Klingler, Florian and Dressler, Falko and Sommer, Christoph}},
  booktitle    = {{2015 IEEE Vehicular Networking Conference (VNC)}},
  isbn         = {{9781467394116}},
  title        = {{{IEEE 802.11p unicast considered harmful}}},
  doi          = {{10.1109/vnc.2015.7385550}},
  year         = {{2016}},
}

@inproceedings{12039,
  author       = {{Memedi, Agon and Hagenauer, Florian and Dressler, Falko and Sommer, Christoph}},
  booktitle    = {{2015 IEEE Vehicular Networking Conference (VNC)}},
  isbn         = {{9781467394116}},
  title        = {{{Cluster-based transmit power control in heterogeneous vehicular networks}}},
  doi          = {{10.1109/vnc.2015.7385547}},
  year         = {{2016}},
}

@misc{128,
  author       = {{Bernhardt, Katharina}},
  publisher    = {{Universität Paderborn}},
  title        = {{{Zertifikate als Qualitätssignal – Wie die Zertifizierung von Produkten und Verkäufern das Vertrauen von Kunden im Onlinehandel beeinflussen}}},
  year         = {{2016}},
}

@book{12892,
  author       = {{Beutner, Marc and Schneider, J.}},
  pages        = {{19}},
  publisher    = {{IK Verlag}},
  title        = {{{Handbuch für Lehrkräfte. Ein Handbuch zur Nutzung des SEEL-Online-Course-Creators}}},
  year         = {{2016}},
}

@misc{129,
  author       = {{Schmidt, Alexander}},
  publisher    = {{Universität Paderborn}},
  title        = {{{Wie entsteht Kreativität? Ein Überblick über vergleichende Studien zu verschiedenen Formen des Brainstormings}}},
  year         = {{2016}},
}

@inbook{12935,
  author       = {{Komprecht, Anna Maria and Röwenstrunk, Daniel}},
  booktitle    = {{„Ei, dem alten Herrn zoll’ ich Achtung gern“}},
  publisher    = {{Allitera Verlag, München}},
  title        = {{{Projektmanagement in digitalen Forschungsprojekten}}},
  doi          = {{10.25366/2018.33}},
  year         = {{2016}},
}

@book{12972,
  abstract     = {{Taking inspiration from self-awareness in humans, this book introduces the new notion of computational self-awareness as a fundamental concept for designing and operating computing systems. The basic ability of such self-aware computing systems is to collect information about their state and progress, learning and maintaining models containing knowledge that enables them to reason about their behaviour. Self-aware computing systems will have the ability to utilise this knowledge to effectively and autonomously adapt and explain their behaviour, in changing conditions. This book addresses these fundamental concepts from an engineering perspective, aiming at developing primitives for building systems and applications. It will be of value to researchers, professionals and graduate students in computer science and engineering.}},
  editor       = {{Lewis, Peter R. and Platzner, Marco and Rinner, Bernhard and Tørresen, Jim and Yao, Xin}},
  isbn         = {{9783319396743}},
  issn         = {{1619-7127}},
  publisher    = {{Springer}},
  title        = {{{Self-aware Computing Systems: An Engineering Approach}}},
  doi          = {{10.1007/978-3-319-39675-0}},
  year         = {{2016}},
}

@inproceedings{12975,
  author       = {{Kampmann, Matthias and Hellebrand, Sybille}},
  booktitle    = {{25th IEEE Asian Test Symposium (ATS'16)}},
  pages        = {{1--6}},
  publisher    = {{IEEE}},
  title        = {{{X Marks the Spot: Scan-Flip-Flop Clustering for Faster-than-at-Speed Test}}},
  doi          = {{10.1109/ats.2016.20}},
  year         = {{2016}},
}

@misc{130,
  author       = {{Kaczorkowski, Jessica}},
  publisher    = {{Universität Paderborn}},
  title        = {{{Wettbewerb im Internet - Eine wettbewerbspolitische Analyse des E-Commerce}}},
  year         = {{2016}},
}

@misc{153,
  author       = {{König, Jürgen}},
  publisher    = {{Universität Paderborn}},
  title        = {{{Shared Resource Scheduling with Interconnected Services}}},
  year         = {{2016}},
}

