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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
522017
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
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
302022
Full Bayesian Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery.
T Glarner, P Hanebrink, J Ebbers, R Haeb-Umbach
Interspeech, 2688-2692, 2018
212018
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
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
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
172021
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
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
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
Post-Processing Independent Evaluation of Sound Event Detection Systems
J Ebbers, R Haeb-Umbach, R Serizel
arXiv preprint arXiv:2306.15440, 2023
32023
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
Adapting Sound Recognition to A New Environment Via Self-Training
J Ebbers, MC Keyser, R Haeb-Umbach
2021 29th European Signal Processing Conference (EUSIPCO), 1135-1139, 2021
22021
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
22021
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