Michael Taenzer
Michael Taenzer
Fraunhofer IDMT
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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
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
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
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
Analysis and Visualisation of Music
M Taenzer, BC Wünsche, S Müller
2019 International Conference on Electronics, Information, and Communication …, 2019
Predominant Jazz Instrument Recognition: Empirical Studies on Neural Network Architectures
J Abeßer, J Chauhan, PP Pillai, M Taenzer, SI Mimilakis
2021 29th European Signal Processing Conference (EUSIPCO), 361-365, 2021
Deep Learning-Based Music Instrument Recognition: Exploring Learned Feature Representations
M Taenzer, SI Mimilakis, J Abeßer
International Symposium on Computer Music Multidisciplinary Research, 32-46, 2021
Towards Interpreting and Improving the Latent Space for Musical Chord Recognition
CR Nadar, M Taenzer, J Abeßer
Experimenting with Professional Microphones to Apply Acoustic Event Detection to Unmanned Aerial Vehicles
K Hock, M Seideneck, C Sladeczek, M Taenzer
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