@article{58044, author = {{Gerhards, L. and Hembach, P. and Jonas, Kristina}}, journal = {{Forum Logopädie}}, number = {{6}}, pages = {{18–22}}, title = {{{Fazialisparesen: Herausforderungen für Diagnostik und Therapie in der Sprachtherapie}}}, volume = {{36}}, year = {{2022}}, } @article{58016, author = {{Büttner-Kunert, J. and Jonas, K.}}, journal = {{logos}}, number = {{4}}, pages = {{284–285}}, title = {{{Neues interdisziplinäres DFG-Netzwerk gestartet - Kognitive Kommunikationsstörungen bei Schädel-Hirn-Trauma: Die Interaktion von Sprache, Kognition und Verhalten aus interdisziplinärer Perspektive}}}, volume = {{30}}, year = {{2022}}, } @article{58042, author = {{Haas, E. and Ziegler, W. and Scholderle, T.}}, issn = {{1869-7003}}, journal = {{Neurologie {&} Rehabilitation}}, number = {{02}}, pages = {{85–89}}, title = {{{Entwicklungsverläufe kindlicher Dysarthrien: Auditive Profile und Verständlichkeit}}}, doi = {{10.14624/NR2202006}}, volume = {{28}}, year = {{2022}}, } @article{58022, author = {{Albrecht, K. and Jaecks, Petra and Jonas, K. and Stegenwallner-Schütz, M. and Lehmden, F.}}, journal = {{Sprachtherapie aktuell: Praxis – Beruf – Verband}}, number = {{1}}, pages = {{21}}, title = {{{Forschungsprojekt KoliPENs: Kognitive, linguistische und personenbezogene Einflussfaktoren auf das Schreiben}}}, volume = {{4}}, year = {{2022}}, } @article{58087, author = {{Akimov, Andrey V. and Barra-Burillo, María and Bayer, Manfred and Bradford, Jonathan and Gusev, Vitalyi E. and Hueso, Luis E. and Kent, Anthony and Kukhtaruk, Serhii and Nadzeyka, Achim and Patanè, Amalia and Rushforth, Andrew W. and Scherbakov, Alexey V. and Yaremkevich, Dmytro D. and Linnik, Tetiana L. }}, journal = {{Nano Letters}}, number = {{16}}, title = {{{Coherent Phononics of van der Waals Layers on Nanogratings}}}, doi = {{10.1021/acs.nanolett.2c01542}}, volume = {{22}}, year = {{2022}}, } @article{58089, author = {{Demenev, A.A. and Yaremkevich, D.D. and Scherbakov, A.V. and Gavrilov, S.S. and Yakovlev, D.R. and Kulakovskii, V.D. and Bayer, M. }}, journal = {{Physical Review Applied}}, title = {{{Ultrafast All-Optical Polarization Switch Controlled by Optically Excited Picosecond Acoustic Perturbation of Exciton Resonance in Planar Microcavities}}}, doi = {{10.1103/PhysRevApplied.18.044045}}, volume = {{18}}, year = {{2022}}, } @inbook{34555, author = {{Schreiber, Christine and Patrzek, Justine and Scharlau, Ingrid}}, booktitle = {{Psychologiedidaktik und Evaluation XI}}, editor = {{Krämer, Michael and Dutke, Stefan and Bintz, Gesa and Lindhaus, Maike}}, keywords = {{Unterrichtsfach Psychologie}}, publisher = {{Shaker}}, title = {{{Aktuelle Forschung auf dem Prüfstand: Überlegungen zur Wissenschaftsdidaktik und zum Aufbau von Urteilskompetenz im Psychologieunterricht}}}, year = {{2022}}, } @misc{58118, author = {{Pauls, René}}, title = {{{Die Rezeption Stuart Halls in der Musikwissenschaft: Ansätze einer interdisziplinären Fachgeschichte}}}, year = {{2022}}, } @inbook{57880, abstract = {{Seit Jahrzehnten beschleunigen sich die Entwicklungsdynamiken digitaler Technologien und digitalisierter Kultur eher, als dass sie sich beruhigen. Forschung zur Digitalisierung, insbesondere in Feldern ästhetischer Praxen und kultureller Bildung, hat es mit einem ausgesprochen fluiden Gegenstandsbereich zu tun. Auf dem Markt werden immer neue MusikmachDinge angeboten, um eventuell kurz darauf wieder zu verschwinden. Gleichwohl prägen sie die Aneignungsvorgänge, Praxis und Ästhetik ganzer Musikkulturen. Die Herausforderungen für Forschung sind entsprechend nicht gering: In gegenstandsbezogener Perspektive muss der erkundende und forschende Blick sich immer wieder neu justieren – gerade in Bezug auf Künste und ästhetische Praxen, die selbst Digitalisierungsprozesse immer stärker thematisieren und in ihrer Form reflektieren. In methodologischer und methodischer Perspektive bedarf es der Entwicklung neuer, den (post-)digitalen Praxen angemessener Forschungsweisen. Die vorgestellten Studien zeigen auf, inwiefern erst die Kombination aus „Gegenständen“ oder Dingen, seien sie physischer, kultur-technischer, technologischer, konzeptioneller und/oder sozial-kultureller Natur, den Zugang und damit auch die Rolle menschlicher Akteur*innen in den jeweiligen Handlungszusammenhängen formt. Die im Buch versammelten Forschungszugänge reichen von symmetrisch-soziomateriellen Konstellationen bis hin zu dezentriertheitssensiblen, wissenssoziologisch fundierten Blickweisen auf (Sozio-)Materialität. Dabei geht es um inhaltliche Aspekte von Design und Produktion, Wissen und Bildung sowie Konsumtion, Prosumtion und Nutzung.}}, author = {{Weidner, Verena and Haenisch, Matthias and Stenzel, Maurice and Godau, Marc}}, booktitle = {{MusikmachDinge im Kontext. Forschungszugänge zur Soziomaterialität von Musiktechnologie}}, editor = {{Ahlers, Michael and Jörissen, Benjamin and Donner, Martin and Wernicke, Carsten}}, keywords = {{Postdigitalität, Musikunterricht, Ethnografie, Subjektivierung}}, pages = {{191–210}}, publisher = {{Olms}}, title = {{{Adressierungspraktiken in der Ableton Link-Community. Ein (cyber-)ethnographischer Zugang}}}, year = {{2022}}, } @misc{49809, author = {{Neuhausen, Timo}}, booktitle = {{Beiträge empirischer Musikpädagogik}}, title = {{{E-Assessment zwischen Kompetenzorientierung und Technologieskepsis:Entwicklung eines Tools zur Messung musikalischer Fähigkeiten im Unterricht}}}, volume = {{13}}, year = {{2022}}, } @inproceedings{34283, author = {{Gutt, Jana Kim and Thommes, Kirsten}}, booktitle = {{Academy of Management Proceedings}}, title = {{{Speaking of Performance: Evaluating Team Members’ Performance with Open-Ended Audio Comments}}}, doi = {{https://doi.org/10.5465/AMBPP.2022.16394abstract}}, year = {{2022}}, } @inbook{57881, author = {{Godau, Marc and Haenisch, Matthias}}, booktitle = {{(Populäre) Musik/Kultur in der Jugendarbeit. Dokumentation der Fachtagung 2021}}, editor = {{Pop), Landesarbeitsgemeinschaft Populäre Musik / Kultur Berlin e V. (LAG}}, pages = {{21–65}}, title = {{{Herausforderungen für eine Popularmusikpädagogik des 21. Jahrhunderts. Kritische Anfragen an das Feld vor dem Hintergrund der musikpädagogischen Diskussion.}}}, year = {{2022}}, } @article{58571, author = {{Dogan, Deniz and Ruthmann, Simon and Seewald, Oliver and Bremser, Wolfgang}}, issn = {{0300-9440}}, journal = {{Progress in Organic Coatings}}, publisher = {{Elsevier BV}}, title = {{{Tuning of antifouling active PDMS domains tethered to epoxy/amine surface}}}, doi = {{10.1016/j.porgcoat.2022.106977}}, volume = {{170}}, year = {{2022}}, } @inproceedings{33848, abstract = {{Impressive progress in neural network-based single-channel speech source separation has been made in recent years. But those improvements have been mostly reported on anechoic data, a situation that is hardly met in practice. Taking the SepFormer as a starting point, which achieves state-of-the-art performance on anechoic mixtures, we gradually modify it to optimize its performance on reverberant mixtures. Although this leads to a word error rate improvement by 7 percentage points compared to the standard SepFormer implementation, the system ends up with only marginally better performance than a PIT-BLSTM separation system, that is optimized with rather straightforward means. This is surprising and at the same time sobering, challenging the practical usefulness of many improvements reported in recent years for monaural source separation on nonreverberant data.}}, author = {{Cord-Landwehr, Tobias and Boeddeker, Christoph and von Neumann, Thilo and Zorila, Catalin and Doddipatla, Rama and Haeb-Umbach, Reinhold}}, booktitle = {{2022 International Workshop on Acoustic Signal Enhancement (IWAENC)}}, publisher = {{IEEE}}, title = {{{Monaural source separation: From anechoic to reverberant environments}}}, year = {{2022}}, } @inproceedings{33819, author = {{von Neumann, Thilo and Kinoshita, Keisuke and Boeddeker, Christoph and Delcroix, Marc and Haeb-Umbach, Reinhold}}, booktitle = {{ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}}, publisher = {{IEEE}}, title = {{{SA-SDR: A Novel Loss Function for Separation of Meeting Style Data}}}, doi = {{10.1109/icassp43922.2022.9746757}}, year = {{2022}}, } @misc{33816, author = {{Gburrek, Tobias and Boeddeker, Christoph and von Neumann, Thilo and Cord-Landwehr, Tobias and Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}}, publisher = {{arXiv}}, title = {{{A Meeting Transcription System for an Ad-Hoc Acoustic Sensor Network}}}, doi = {{10.48550/ARXIV.2205.00944}}, year = {{2022}}, } @inproceedings{33954, author = {{Boeddeker, Christoph and Cord-Landwehr, Tobias and von Neumann, Thilo and Haeb-Umbach, Reinhold}}, booktitle = {{Interspeech 2022}}, publisher = {{ISCA}}, title = {{{An Initialization Scheme for Meeting Separation with Spatial Mixture Models}}}, doi = {{10.21437/interspeech.2022-10929}}, year = {{2022}}, } @inproceedings{33958, abstract = {{Recent speaker diarization studies showed that integration of end-to-end neural diarization (EEND) and clustering-based diarization is a promising approach for achieving state-of-the-art performance on various tasks. Such an approach first divides an observed signal into fixed-length segments, then performs {\it segment-level} local diarization based on an EEND module, and merges the segment-level results via clustering to form a final global diarization result. The segmentation is done to limit the number of speakers in each segment since the current EEND cannot handle a large number of speakers. In this paper, we argue that such an approach involving the segmentation has several issues; for example, it inevitably faces a dilemma that larger segment sizes increase both the context available for enhancing the performance and the number of speakers for the local EEND module to handle. To resolve such a problem, this paper proposes a novel framework that performs diarization without segmentation. However, it can still handle challenging data containing many speakers and a significant amount of overlapping speech. The proposed method can take an entire meeting for inference and perform {\it utterance-by-utterance} diarization that clusters utterance activities in terms of speakers. To this end, we leverage a neural network training scheme called Graph-PIT proposed recently for neural source separation. Experiments with simulated active-meeting-like data and CALLHOME data show the superiority of the proposed approach over the conventional methods.}}, author = {{Kinoshita, Keisuke and von Neumann, Thilo and Delcroix, Marc and Boeddeker, Christoph and Haeb-Umbach, Reinhold}}, booktitle = {{Proc. Interspeech 2022}}, pages = {{1486--1490}}, publisher = {{ISCA}}, title = {{{Utterance-by-utterance overlap-aware neural diarization with Graph-PIT}}}, doi = {{10.21437/Interspeech.2022-11408}}, year = {{2022}}, } @inproceedings{31063, author = {{Grieger, Nicole and Seutter, Janina and Kundisch, Dennis}}, booktitle = {{Proceedings of the 28th Americas Conference on Information Systems (AMCIS)}}, location = {{Minneapolis, USA}}, title = {{{A Rollercoaster of Emotions – A Semantic Analysis of Fundraising Campaigns over the Course of the COVID-19 Pandemic}}}, year = {{2022}}, } @inproceedings{28999, author = {{Grieger, Nicole and Seutter, Janina and Kundisch, Dennis}}, booktitle = {{Tagungsband der 17. Internationalen Tagung Wirtschaftsinformatik 2022}}, location = {{Nürnberg, Germany}}, title = {{{Rollercoaster of Emotions – A Semantic Analysis of Fundraising Campaigns over the Course of the Covid-19 Pandemic}}}, year = {{2022}}, }