von Neumann T, Kinoshita K, Boeddeker C, Delcroix M, Haeb-Umbach R. Graph-PIT: Generalized Permutation Invariant Training for Continuous Separation of Arbitrary Numbers of Speakers. In: Interspeech 2021. ; 2021. doi:10.21437/interspeech.2021-1177
LibreCat: /record/26770
DOI: 10.21437/interspeech.2021-1177

Opel SA, Schlichtig M. Data Science und Big Data in der beruflichen Bildung – Konzeption und Erprobung eines Projektkurses für die Sekundarstufe II. In: Vollmer T, Karges T, Richter T, Schlömer B, Schütt-Sayed S, eds. Sammelband der 27. Fachtagung der BAG Berufliche Bildung. Vol 55. Berufsbildung, Arbeit und Innovation. wbv Media GmbH &; Co. KG; 2020:176-194. doi:https://doi.org/10.3278/6004722w
LibreCat: /record/29298
DOI: https://doi.org/10.3278/6004722w

Caruso C, Martin A. Anforderungen an Studienordnungen in einer digital vernetzten Welt. Zeitschrift für Hochschulentwicklung . 2020;15(1):195-208. doi:10.3217/zfhe-15-01/10
LibreCat: /record/35300
DOI: 10.3217/zfhe-15-01/10

Berisha-Gawlowski A, Caruso C, Goller M, Harteis C. Auswirkungen der Digitalisierung industrieller Arbeit auf die berufliche und allgemeine Bildung. In: Heisler D, Meier J, eds. Digitalisierung am Übergang Schule Beruf Ansätze und Perspektiven in Arbeitsdomänen und beruflicher Förderung. Vol 56. Berufsbildung, Arbeit und Innovation. wbv; 2020:33–51. doi:10.3278/6004725w
LibreCat: /record/35836
DOI: 10.3278/6004725w

Kottmann B, Pieper C. Project “Schule für alle”10.1556/063.2020.00022__as a mentoring programme in university teacher education: Professionalization processes of student teachers in different practical university phases. Hungarian Educational Research Journal. 2020;10(3):232-251. doi:10.1556/063.2020.00022
LibreCat: /record/39817
DOI: 10.1556/063.2020.00022

Alptekin M, Temmen K. Gamification in an Augmented Reality Based Virtual Preparation Laboratory Training. In: The Challenges of the Digital Transformation in Education. Springer International Publishing; 2019. doi:10.1007/978-3-030-11932-4_54
LibreCat: /record/34123
DOI: 10.1007/978-3-030-11932-4_54

Alptekin M, Temmen K. Teaching an Oscilloscope through Progressive Onboarding in an Augmented Reality Based Virtual Laboratory. In: 2019 IEEE Global Engineering Education Conference (EDUCON). ; 2019:1047-1054. doi:10.1109/EDUCON.2019.8725038
LibreCat: /record/34121
DOI: 10.1109/EDUCON.2019.8725038

Schryen G, Benlian A, Rowe F, et al. Literature Reviews in IS Research: What Can Be Learnt from the Past and Other Fields? Communications of the AIS. 2017;40:557-569.
LibreCat: /record/5633

Ho N, Kaufmann P, Platzner M. Evolvable caches: Optimization of reconfigurable cache mappings for a LEON3/Linux-based multi-core processor. In: 2017 International Conference on Field Programmable Technology (ICFPT). ; 2017:215-218. doi:10.1109/FPT.2017.8280144
LibreCat: /record/10676
DOI: 10.1109/FPT.2017.8280144

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: Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference On. ; 2015:5053-5057. doi:10.1109/ICASSP.2015.7178933
LibreCat: /record/11813
DOI: 10.1109/ICASSP.2015.7178933

Li J, Deng L, Gong Y, Haeb-Umbach R. An Overview of Noise-Robust Automatic Speech Recognition. IEEE Transactions on Audio, Speech and Language Processing. 2014;22(4):745-777. doi:10.1109/TASLP.2014.2304637
LibreCat: /record/11867
DOI: 10.1109/TASLP.2014.2304637

Hoang MK, Haeb-Umbach R. Parameter estimation and classification of censored Gaussian data with application to WiFi indoor positioning. In: 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013). ; 2013:3721-3725. doi:10.1109/ICASSP.2013.6638353
LibreCat: /record/11816
DOI: 10.1109/ICASSP.2013.6638353

Windmann S, Haeb-Umbach R. Parameter Estimation of a State-Space Model of Noise for Robust Speech Recognition. IEEE Transactions on Audio, Speech, and Language Processing. 2009;17(8):1577-1590. doi:10.1109/TASL.2009.2023172
LibreCat: /record/11938
DOI: 10.1109/TASL.2009.2023172

Windmann S, Haeb-Umbach R. Iterative Speech Enhancement using a Non-Linear Dynamic State Model of Speech and its Parameters. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006). Vol 1. ; 2006:I. doi:10.1109/ICASSP.2006.1660058
LibreCat: /record/11943
DOI: 10.1109/ICASSP.2006.1660058

Haeb-Umbach R. Automatic generation of phonetic regression class trees for MLLR adaptation. IEEE Transactions on Speech and Audio Processing. 2001;9(3):299-302. doi:10.1109/89.906003
LibreCat: /record/11778
DOI: 10.1109/89.906003