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Janek Ebbers
Janek Ebbers
Verified email at nt.upb.de
Title
Cited by
Cited by
Year
Scent dog identification of samples from COVID-19 patients–a pilot study
P Jendrny, C Schulz, F Twele, S Meller, M von Köckritz-Blickwede, ...
BMC infectious diseases 20, 1-7, 2020
2112020
Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery
J Ebbers, LD Jahn Heymann, T Glarner, R Haeb-Umbach, B Raj
Proc. Interspeech 2017, 488-492, 2017
532017
Threshold Independent Evaluation of Sound Event Detection Scores
J Ebbers, R Haeb-Umbach, R Serizel
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
362022
Scent dog identification of SARS-CoV-2 infections in different body fluids
P Jendrny, F Twele, S Meller, C Schulz, M von Köckritz-Blickwede, ...
BMC Infectious Diseases 21, 1-14, 2021
362021
Full Bayesian Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery.
T Glarner, P Hanebrink, J Ebbers, R Haeb-Umbach
Interspeech, 2688-2692, 2018
222018
Contrastive Predictive Coding Supported Factorized Variational Autoencoder for Unsupervised Learning of Disentangled Speech Representations
J Ebbers, M Kuhlmann, T Cord-Landwehr, R Haeb-Umbach
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
20*2021
Forward-Backward Convolutional Recurrent Neural Networks and Tag-Conditioned Convolutional Neural Networks for Weakly Labeled Semi-supervised Sound Event Detection
J Ebbers, R Haeb-Umbach
arXiv preprint arXiv:2103.06581, 2021
19*2021
Self-trained audio tagging and sound event detection in domestic environments
J Ebbers, R Haeb-Umbach
Proceedings of the 6th Detection and Classification of Acoustic Scenes and …, 2021
192021
Pre-training and self-training for sound event detection in domestic environments
J Ebbers, R Haeb-Umbach
Detection and Classification of Acoustic Scenes and Events (DCASE) Challenge, 2022
182022
Convolutional Recurrent Neural Network and Data Augmentation for Audio Tagging with Noisy Labels and Minimal Supervision
J Ebbers, R Haeb-Umbach
Detection and Classification of Acoustic Scenes and Events 2019 Workshop …, 2019
132019
Privacy-preserving Variational Information Feature Extraction for Domestic Activity Monitoring Versus Speaker Identification
A Nelus, J Ebbers, R Haeb-Umbach, R Martin
INTERSPEECH 2019, Graz, Austria, 2019
122019
Weakly Supervised Sound Activity Detection and Event Classification in Acoustic Sensor Networks
J Ebbers, L Drude, R Haeb-Umbach, A Brendel, W Kellermann
2019 IEEE 8th International Workshop on Computational Advances in Multi …, 2019
82019
Evaluation of modulation-MFCC features and DNN classification for acoustic event detection
J Ebbers, A Nelus, R Martin, R Haeb-Umbach
Deutsche Jahrestagung fur Akustik (DAGA), 2018
82018
Post-Processing Independent Evaluation of Sound Event Detection Systems
J Ebbers, R Haeb-Umbach, R Serizel
arXiv preprint arXiv:2306.15440, 2023
72023
Sound event detection using metric learning and focal loss for dcase 2021 task 4
G Tian, Y Huang, Z Ye, S Ma, X Wang, H Liu, Y Qian, R Tao, L Yan, ...
Tech. Rep., DCASE2021 Challenge, 2021
72021
Benchmarking Neural Network Architectures for Acoustic Sensor Networks
J Ebbers, J Heitkaemper, J Schmalenstroeer, R Haeb-Umbach
Speech Communication; 13th ITG-Symposium, 1-5, 2018
52018
Sound Event Bounding Boxes
J Ebbers, FG Germain, G Wichern, JL Roux
arXiv preprint arXiv:2406.04212, 2024
42024
Unsupervised learning of a disentangled speech representation for voice conversion
T Gburrek, T Glarner, J Ebbers, R Haeb-Umbach, P Wagner
Proc. 10th ISCA Speech Synthesis Workshop, 81-86, 2019
42019
DCASE 2024 Task 4: Sound Event Detection with Heterogeneous Data and Missing Labels
S Cornell, J Ebbers, C Douwes, I Martín-Morató, M Harju, A Mesaros, ...
arXiv preprint arXiv:2406.08056, 2024
32024
Investigation into Target Speaking Rate Adaptation for Voice Conversion
M Kuhlmann, F Seebauer, J Ebbers, P Wagner, R Haeb-Umbach
arXiv preprint arXiv:2209.01978, 2022
32022
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