The following page provides an overview of publications, including books, journal papers, conference proceedings as well as dissertations and research reports, published by researches of the Fraunhofer Institute for Digital Media Technology IDMT

For further research please use our database "Fraunhofer-Publica".

Fraunhofer Publica


Fraunhofer IDMT: publication list
YearTitle/AuthorDocument Type
2021Are they Calling my Name? Attention Capture is Reflected in the Neural Tracking of Attended and Ignored Speech
Holtze, Björn; Jaeger, Manuela; Debener, Stefan; Adiloglu, Kamil; Mirkovic, Bojana
Journal Article
2021Deep Neural Network Driven Speech Classification for Relevance Detection in Automatic Medical Documentation
Ahamed, S.; Weiler, G.; Boden, K.; Januschowski, K.; Stennes, M.; McCrae, P.; Bock, C.; Rawein, C.; Petris, M.; Foth, K.; Rohm, K.; Kiefer, S.
Conference Paper
2021DESED-FL and URBAN-FL: Federated Learning Datasets for Sound Event Detection
Johnson, David S.; Lorenz, Wolfgang; Taenzer, Michael; Mimilakis, Stylianos; Grollmisch, Sascha; Abeßer, Jakob; Lukashevich, Hanna
2021EEG-Based Intersubject Correlations Reflect Selective Attention in a Competing Speaker Scenario
Rosenkranz, Marc; Holtze, Björn; Jaeger, Manuela; Debener, Stefan
Journal Article
2021Ensemble Size Classification in Colombian Andean String Music Recordings
Grollmisch, S.; Cano, E.; Mora Ángel, F.; López Gil, G.
Conference Paper
2021An Evaluation of Motion Trackers with Virtual Reality Sensor Technology in Comparison to a Marker-Based Motion Capture System Based on Joint Angles for Ergonomic Risk Assessment
Vox, Jan P.; Weber, Anika; Wolf, Karen Insa; Izdebski, Krzysztof; Schüler, Thomas; König, Peter; Wallhoff, Frank; Friemert, Daniel
Journal Article
2021Flex-Printed Ear-EEG Sensors for Adequate Sleep Staging at Home
Silva Souto, Carlos F. da; Pätzold, Wiebke; Wolf, Karen Insa; Paul, Marina; Matthiesen, Ida; Bleichner, Martin G.; Debener, Stefan
Journal Article
2021Informing Piano Multi-Pitch Estimation with Inferred Local Polyphony Based on Convolutional Neural Networks
Taenzer, Michael; Mimilakis, Stylianos I.; Abeßer, Jakob
Journal Article
2021Jazz Bass Transcription Using a U-Net Architecture
Abeßer, J.; Müller, M.
Journal Article
2021Konzept zur Modifizierung eines Lautsprechersignals zur Vermeidung einer Membranüberauslenkung
Ritter, Robin; Fischer, Georg
2021MEMS Acoustical Actuators: Principles, Challenges and Perspectives
Fritsch, T.; Beer, D.; Küller, J.; Fischer, G.; Zhykhar, A.; Fiedler, M.
Conference Paper
2021OWAS inter-rater reliability
Lins, Christian; Fudickar, Sebastian; Hein, Andreas
Journal Article
2021Simulating MEMS loudspeakers: Presentation held at COMSOL Day: MEMS, 25.03.2021, Online
Fritsch, Tobias; Küller, J.
2021Towards Deep Learning Strategies for Transcribing Electroacoustic Music
Nowakowski, M.; Weiß, C.; Abeßer, J.
Conference Paper
2021Wertschöpfung durch Software in Deutschland: Aktueller Zustand, Perspektiven, Handlungsempfehlungen
Aichroth, Patrick; Bös, Joachim; Sladeczek, Christoph; Bodden, Eric; Liggesmeyer, Peter; Trapp, Mario; Falk Howar; Otto, Boris; Rehof, Jakob; Spiekermann, Markus; Arzt, Steven; Steffen, Barbara; Nouak, Alexander; Köhler, Henning; Fraunhofer-Verbund Informations- und Kommunikationstechnologie -IuK-, Berlin

This might also be of interest

Data Sets

The audio data sets have been presented in several scientific publications at international conferences and are supposed to serve the scientific community as potential benchmarks for comparative experiments.

Annual Report 2017/2018

(in German)