Sascha Grollmisch
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Music information retrieval meets music education
C Dittmar, E Cano, J Abeßer, S Grollmisch
Dagstuhl Follow-Ups 3, 2012
Sounding Industry: Challenges and Datasets for Industrial Sound Analysis
S Grollmisch, J Abeßer, J Liebetrau, H Lukashevich
Proceedings of the 27th European Signal Processing Conference (EUSIPCO), 2019
Automatic quality assessment of vocal and instrumental performances of ninth-grade and tenth-grade pupils
J Abeßer, J Hasselhorn, C Dittmar, A Lehmann, S Grollmisch
Proceedings of the International Symposium on Computer Music …, 2013
Analyzing the potential of pre-trained embeddings for audio classification tasks
S Grollmisch, E Cano, C Kehling, M Taenzer
2020 28th European Signal Processing Conference (EUSIPCO), 790-794, 2021
Techniques improving the robustness of deep learning models for industrial sound analysis
DS Johnson, S Grollmisch
2020 28th European Signal Processing Conference (EUSIPCO), 81-85, 2021
Exploring sound source separation for acoustic condition monitoring in industrial scenarios
E Cano, J Nowak, S Grollmisch
2017 25th European Signal Processing Conference (EUSIPCO), 2264-2268, 2017
Towards CNN-based acoustic modeling of seventh chords for automatic chord recognition
CR Nadar, J Abeßer, S Grollmisch
International Conference on Sound and Music Computing. Málaga, Spain, 2019
Improving semi-supervised learning for audio classification with fixmatch
S Grollmisch, E Cano
Electronics 10 (15), 1807, 2021
Input interface for generating control signals by acoustic gestures
J Abesser, S Grollmisch
US Patent 9,117,429, 2015
Songs2See: Learn to play by playing
S Grollmisch, E Cano Cerón, C Dittmar
Audio Engineering Society Conference: 41st International Conference: Audio …, 2011
Songs2See: learn to play by playing
E Cano, C Dittmar, S Grollmisch
12th International Society for Music Information Retrieval Conference (ISMIR …, 2011
Desed-fl and urban-fl: Federated learning datasets for sound event detection
DS Johnson, W Lorenz, M Taenzer, S Mimilakis, S Grollmisch, J Abeßer, ...
2021 29th European Signal Processing Conference (EUSIPCO), 556-560, 2021
Concept, Implementation and Evaluation of an improvisation based music video game
S Grollmisch, C Dittmar, G Gatzsche
2009 International IEEE Consumer Electronics Society's Games Innovations …, 2009
Ensemble size classification in Colombian Andean string music recordings
S Grollmisch, E Cano, F Mora-Ángel, GL Gil
14th International Symposium of Computer Music Multidisciplinary Research …, 2019
Automatic singing assessment of pupil performances
C Dittmar, J Abeßer, S Grollmisch, A Lehmann, J Hasselhorn
Proceedings of the 12th International Conference on Music Perception and …, 2012
Songs2See: Towards a new generation of music performance games
E Cano, S Grollmisch, C Dittmar
9th international symposium on computer music modelling and retrieval, 421-428, 2012
Automatic competency assessment of rhythm performances of ninth-grade and tenth-grade pupils
J Abeßer, J Hasselhorn, S Grollmisch, C Dittmar, A Lehmann
ICMC, 2014
Songs2See and GlobalMusic2One: two applied research projects in music information retrieval at Fraunhofer IDMT
C Dittmar, H Großmann, E Cano, S Grollmisch, H Lukashevich, J Abeßer
Exploring Music Contents: 7th International Symposium, CMMR 2010, Málaga …, 2011
Plastic Material Classification using Neural Network based Audio Signal Analysis
S Grollmisch, D Johnson, T Krüger, J Liebetrau
SMSI 2020-Measurement Science, 337-338, 2020
Die Colored Music Grid (CMG) App. Ein neues Eingabeinterface zur Erfassung instrumentenunabhängiger instrumentaler Leistungsfähigkeit
J Hasselhorn, S Grollmisch
Auhagen, W., Bullerjahn, C. & von Georgi, R.(Hrsg.).(2014). Musikpsychologie …, 2014
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