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), 1-7, 2020
842020
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
68*2019
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
342017
Full Bayesian Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery.
T Glarner, P Hanebrink, J Ebbers, R Haeb-Umbach
Interspeech, 2688-2692, 2018
142018
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
102021
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
9*2021
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
72019
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
62018
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
42018
Unsupervised Learning of a Disentangled Speech Representation for Voice Conversion
T Gburrek, T Glarner, J Ebbers, R Haeb-Umbach, P Wagner
Proceedings of the 10 Speech Synthesis Workshop (SSW10), 2019
32019
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
22019
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), 1-14, 2021
12021
Self-trained audio tagging and sound event detection in domestic environments
J Ebbers, R Haeb-Umbach
Tech. Rep., DCASE Challenge, 2021
12021
Voice Conversion Based Speaker Normalization for Acoustic Unit Discovery
T Glarner, J Ebbers, R Häb-Umbach
arXiv preprint arXiv:2105.01786, 2021
2021
Scent dog identification of SARS-CoV-2 infections, similar across different body fluids
P Jendrny, F Twele, S Meller, C Schulz, M von Koeckritz-Blickwede, ...
bioRxiv, 2021
2021
SARS-CoV-2 detection dogs-a pilot study
P Jendrny, C Schulz, F Twele, S Meller, M von Köckritz-Blickwede, ...
Zoonoses 2020, International Symposium on Zoonoses Research, Online-Meeting …, 2020
2020
SOUND EVENT DETECTION USING METRIC LEARNING AND FOCAL LOSS FOR DCASE 2021 TASK 4 Technical Report Gangyi Tian1, Yuxin Huang1, 2, Zhirong Ye1, 2, Shuo Ma1, 2, Xiangdong Wang1 …
R Tao, L Yan, K Ouchi, J Ebbers, R Haeb-Umbach
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Articles 1–17