Michael Taenzer
Michael Taenzer
Fraunhofer IDMT
Verified email at idmt.fraunhofer.de
Cited by
Cited by
Investigating CNN-based Instrument Family Recognition for Western Classical Music Recordings.
M Taenzer, J Abeßer, SI Mimilakis, C Weiß, M Müller, H Lukashevich, ...
ISMIR, 612-619, 2019
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
Analysis and Visualisation of Music
M Taenzer, BC Wünsche, S Müller
2019 International Conference on Electronics, Information, and Communication …, 2019
DESED-FL and URBAN-FL: Federated Learning Datasets for Sound Event Detection
DS Johnson, W Lorenz, M Taenzer, S Mimilakis, S Grollmisch, J Abeßer, ...
arXiv preprint arXiv:2102.08833, 2021
Informing Piano Multi-Pitch Estimation with Inferred Local Polyphony Based on Convolutional Neural Networks
M Taenzer, SI Mimilakis, J Abeßer
Electronics 10 (7), 851, 2021
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