Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery. - Janek Ebbers; Jahn Heymann; Lukas Drude; Thomas Glarner; Reinhold Haeb-Umbach; Bhiksha Raj (INTERSPEECH, 2017)

Benchmarking Neural Network Architectures for Acoustic Sensor Networks. - Janek Ebbers; Jens Heitkaemper; Joerg Schmalenstroeer; Reinhold Haeb-Umbach (ITG Symposium on Speech Communication, 2018)

Full Bayesian Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery. - Thomas Glarner; Patrick Hanebrink; Janek Ebbers; Reinhold Haeb-Umbach (INTERSPEECH, 2018)

Weakly Supervised Sound Activity Detection and Event Classification in Acoustic Sensor Networks. - Janek Ebbers; Lukas Drude; Reinhold Haeb-Umbach; Andreas Brendel; Walter Kellermann (CAMSAP, 2019)

Convolutional Recurrent Neural Network and Data Augmentation for Audio Tagging with Noisy Labels and Minimal Supervision. - Janek Ebbers; Reinhold Häb-Umbach (DCASE, 2019)

Privacy-Preserving Variational Information Feature Extraction for Domestic Activity Monitoring versus Speaker Identification. - Alexandru Nelus; Janek Ebbers; Reinhold Haeb-Umbach; Rainer Martin 001 (INTERSPEECH, 2019)

Unsupervised Learning of a Disentangled Speech Representation for Voice Conversion. - Tobias Gburrek; Thomas Glarner; Janek Ebbers; Reinhold Haeb-Umbach; Petra Wagner (SSW, 2019)

Forward-Backward Convolutional Recurrent Neural Networks and Tag-Conditioned Convolutional Neural Networks for Weakly Labeled Semi-Supervised Sound Event Detection. - Janek Ebbers; Reinhold Haeb-Umbach (DCASE, 2020)

Adversarial Contrastive Predictive Coding for Unsupervised Learning of Disentangled Representations. - Janek Ebbers; Michael Kuhlmann; Reinhold Haeb-Umbach (CoRR, 2020)

Self-Trained Audio Tagging and Sound Event Detection in Domestic Environments. - Janek Ebbers; Reinhold Haeb-Umbach (DCASE, 2021)

Adapting Sound Recognition to A New Environment Via Self-Training. - Janek Ebbers; Moritz Curt Keyser; Reinhold Haeb-Umbach (EUSIPCO, 2021)

Contrastive Predictive Coding Supported Factorized Variational Autoencoder For Unsupervised Learning Of Disentangled Speech Representations. - Janek Ebbers; Michael Kuhlmann; Tobias Cord-Landwehr; Reinhold Haeb-Umbach (ICASSP, 2021)

Voice Conversion Based Speaker Normalization for Acoustic Unit Discovery. - Thomas Glarner; Janek Ebbers; Reinhold Häb-Umbach (CoRR, 2021)

Threshold Independent Evaluation of Sound Event Detection Scores. - Janek Ebbers; Reinhold Haeb-Umbach; Romain Serizel (ICASSP, 2022)

Investigation into Target Speaking Rate Adaptation for Voice Conversion. - Michael Kuhlmann; Fritz Seebauer; Janek Ebbers; Petra Wagner; Reinhold Haeb-Umbach (INTERSPEECH, 2022)

Post-Processing Independent Evaluation of Sound Event Detection Systems. - Janek Ebbers; Reinhold Haeb-Umbach; Romain Serizel (CoRR, 2023)

Sound Event Bounding Boxes. - Janek Ebbers; François G. Germain; Gordon Wichern; Jonathan Le Roux (INTERSPEECH, 2024)

DCASE 2024 Task 4: Sound Event Detection with Heterogeneous Data and Missing Labels. - Samuele Cornell; Janek Ebbers; Constance Douwes; Irene Martín-Morató; Manu Harju; Annamaria Mesaros; Romain Serizel (CoRR, 2024)

UWAV: Uncertainty-weighted Weakly-supervised Audio-Visual Video Parsing. - Yung-Hsuan Lai; Janek Ebbers; Yu-Chiang Frank Wang; François G. Germain; Michael J. Jones 001; Moitreya Chatterjee (CVPR, 2025)

No Class Left Behind: A Closer Look at Class Balancing for Audio Tagging. - Janek Ebbers; François G. Germain; Kevin Wilkinghoff; Gordon Wichern; Jonathan Le Roux (ICASSP, 2025)

Leveraging Audio-Only Data for Text-Queried Target Sound Extraction. - Kohei Saijo; Janek Ebbers; François G. Germain; Sameer Khurana; Gordon Wichern; Jonathan Le Roux (ICASSP, 2025)

Task-Aware Unified Source Separation. - Kohei Saijo; Janek Ebbers; François G. Germain; Gordon Wichern; Jonathan Le Roux (ICASSP, 2025)

Keeping the Balance: Anomaly Score Calculation for Domain Generalization. - Kevin Wilkinghoff; Haici Yang; Janek Ebbers; François G. Germain; Gordon Wichern; Jonathan Le Roux (ICASSP, 2025)