@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}}, } @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}}, } @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}}, } @inproceedings{15907, author = {{Aviram, Nimrod and Schinzel, Sebastian and Somorovsky, Juraj and Heninger, Nadia and Dankel, Maik and Steube, Jens and Valenta, Luke and Adrian, David and Halderman, J. Alex and Dukhovni, Viktor and Käsper, Emilia and Cohney, Shaanan and Engels, Susanne and Paar, Christof and Shavitt, Yuval}}, booktitle = {{25th {USENIX} Security Symposium ({USENIX} Security 16)}}, isbn = {{978-1-931971-32-4}}, pages = {{689--706}}, publisher = {{{USENIX} Association}}, title = {{{DROWN: Breaking TLS Using SSLv2}}}, year = {{2016}}, } @inproceedings{15913, author = {{Böck, Hanno and Zauner, Aaron and Devlin, Sean and Somorovsky, Juraj and Jovanovic, Philipp}}, booktitle = {{10th {USENIX} Workshop on Offensive Technologies ({WOOT} 16)}}, publisher = {{{USENIX} Association}}, title = {{{Nonce-Disrespecting Adversaries: Practical Forgery Attacks on GCM in TLS}}}, year = {{2016}}, } @article{10024, abstract = {{The influence of electronic many-body interactions, spin-orbit coupling, and thermal lattice vibrations on the electronic structure of lithium niobate is calculated from first principles. Self-energy calculations in the GW approximation show that the inclusion of self-consistency in the Green function G and the screened Coulomb potential W opens the band gap far stronger than found in previous G0W0 calculations but slightly overestimates its actual value due to the neglect of excitonic effects in W. A realistic frozen-lattice band gap of about 5.9 eV is obtained by combining hybrid density functional theory with the QSGW0 scheme. The renormalization of the band gap due to electron-phonon coupling, derived here using molecular dynamics as well as density functional perturbation theory, reduces this value by about 0.5 eV at room temperature. Spin-orbit coupling does not noticeably modify the fundamental gap but gives rise to a Rashba-like spin texture in the conduction band.}}, author = {{Riefer, Arthur and Friedrich, Michael and Sanna, Simone and Gerstmann, Uwe and Schindlmayr, Arno and Schmidt, Wolf Gero}}, issn = {{2469-9969}}, journal = {{Physical Review B}}, number = {{7}}, publisher = {{American Physical Society}}, title = {{{LiNbO3 electronic structure: Many-body interactions, spin-orbit coupling, and thermal effects}}}, doi = {{10.1103/PhysRevB.93.075205}}, volume = {{93}}, year = {{2016}}, } @article{32164, author = {{Lohmeier, Yvonne and Karsten, Andrea}}, journal = {{JoSch – Journal der Schreibberatung}}, keywords = {{Schreibberatung, Schreibdidaktik, Schreibprozess, Sprache}}, number = {{11}}, pages = {{13 -- 23}}, publisher = {{wbv}}, title = {{{Schreiben eine Stimme geben. Über die Beziehung von lautem Sprechen und Schreiben im Schreibprozess}}}, doi = {{10.3278/JOS1601W013}}, year = {{2016}}, } @article{29250, author = {{Steinhardt, Isabel}}, journal = {{Zeitschrift für Hochschulentwicklung}}, number = {{1}}, pages = {{225--237}}, title = {{{Habitussensibilisierung durch Videoanalysen von Lehramtsstudierenden}}}, doi = {{10.3217/zfhe-11-01/13}}, volume = {{11}}, year = {{2016}}, } @misc{29556, author = {{Schönhärl, Korinna}}, booktitle = {{H-Soz Kult}}, title = {{{Review: Schwarz, Steffen L.: Despoten – Barbaren – Wirtschaftspartner. Die Allgemeine Zeitung und der Diskurs über das Osmanische Reich 1821-1840, Köln Weimar Wien 2016}}}, year = {{2016}}, }