Janek Ebbers

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 20

Top Topics

Event Detection

Sensor Networks

Unsupervised Learning

Top Venues

Publications

Samuele Cornell, Janek Ebbers, Constance Douwes, Irene Martín-Morató, Manu Harju, Annamaria Mesaros, Romain Serizel
DCASE 2024 Task 4: Sound Event Detection with Heterogeneous Data and Missing Labels. CoRR (2024)
Janek Ebbers, François G. Germain, Gordon Wichern, Jonathan Le Roux
Sound Event Bounding Boxes. CoRR (2024)
Janek Ebbers, Reinhold Haeb-Umbach, Romain Serizel
Post-Processing Independent Evaluation of Sound Event Detection Systems. CoRR (2023)
Michael Kuhlmann, Fritz Seebauer, Janek Ebbers, Petra Wagner, Reinhold Haeb-Umbach
Investigation into Target Speaking Rate Adaptation for Voice Conversion. INTERSPEECH (2022)
Janek Ebbers, Reinhold Haeb-Umbach, Romain Serizel
Threshold Independent Evaluation of Sound Event Detection Scores. ICASSP (2022)
Janek Ebbers, Romain Serizel, Reinhold Haeb-Umbach
Threshold Independent Evaluation of Sound Event Detection Scores. CoRR (2022)
Janek Ebbers, Michael Kuhlmann, Tobias Cord-Landwehr, Reinhold Haeb-Umbach
Contrastive Predictive Coding Supported Factorized Variational Autoencoder For Unsupervised Learning Of Disentangled Speech Representations. ICASSP (2021)
Thomas Glarner, Janek Ebbers, Reinhold Häb-Umbach
Voice Conversion Based Speaker Normalization for Acoustic Unit Discovery. CoRR (2021)
Janek Ebbers, Reinhold Haeb-Umbach
Self-Trained Audio Tagging and Sound Event Detection in Domestic Environments. DCASE (2021)
Janek Ebbers, Moritz Curt Keyser, Reinhold Haeb-Umbach
Adapting Sound Recognition to A New Environment Via Self-Training. EUSIPCO (2021)
Janek Ebbers, Reinhold Haeb-Umbach
Forward-Backward Convolutional Recurrent Neural Networks and Tag-Conditioned Convolutional Neural Networks for Weakly Labeled Semi-supervised Sound Event Detection. CoRR (2021)
Janek Ebbers, Michael Kuhlmann, Reinhold Haeb-Umbach
Adversarial Contrastive Predictive Coding for Unsupervised Learning of Disentangled Representations. CoRR (2020)
Janek Ebbers, Reinhold Haeb-Umbach
Forward-Backward Convolutional Recurrent Neural Networks and Tag-Conditioned Convolutional Neural Networks for Weakly Labeled Semi-Supervised Sound Event Detection. DCASE (2020)
Janek Ebbers, Lukas Drude, Reinhold Haeb-Umbach, Andreas Brendel, Walter Kellermann
Weakly Supervised Sound Activity Detection and Event Classification in Acoustic Sensor Networks. CAMSAP (2019)
Tobias Gburrek, Thomas Glarner, Janek Ebbers, Reinhold Haeb-Umbach, Petra Wagner
Unsupervised Learning of a Disentangled Speech Representation for Voice Conversion. SSW (2019)
Janek Ebbers, Reinhold Häb-Umbach
Convolutional Recurrent Neural Network and Data Augmentation for Audio Tagging with Noisy Labels and Minimal Supervision. DCASE (2019)
Alexandru Nelus, Janek Ebbers, Reinhold Haeb-Umbach, Rainer Martin
Privacy-Preserving Variational Information Feature Extraction for Domestic Activity Monitoring versus Speaker Identification. INTERSPEECH (2019)
Thomas Glarner, Patrick Hanebrink, Janek Ebbers, Reinhold Haeb-Umbach
Full Bayesian Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery. INTERSPEECH (2018)
Janek Ebbers, Jens Heitkaemper, Joerg Schmalenstroeer, Reinhold Haeb-Umbach
Benchmarking Neural Network Architectures for Acoustic Sensor Networks. ITG Symposium on Speech Communication (2018)
Janek Ebbers, Jahn Heymann, Lukas Drude, Thomas Glarner, Reinhold Haeb-Umbach, Bhiksha Raj
Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery. INTERSPEECH (2017)