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15 Publications


2023 | Conference Paper | LibreCat-ID: 44849 | OA
Rautenberg, Frederik, Michael Kuhlmann, Janek Ebbers, Jana Wiechmann, Fritz Seebauer, Petra Wagner, and Reinhold Haeb-Umbach. “Speech Disentanglement for Analysis and Modification of Acoustic and Perceptual Speaker Characteristics.” In Fortschritte Der Akustik - DAGA 2023, 1409–12, 2023.
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2022 | Conference Paper | LibreCat-ID: 33857 | OA
Kuhlmann, Michael, Fritz Seebauer, Janek Ebbers, Petra Wagner, and Reinhold Haeb-Umbach. “Investigation into Target Speaking Rate Adaptation for Voice Conversion.” In Interspeech 2022. ISCA, 2022. https://doi.org/10.21437/interspeech.2022-10740.
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2022 | Conference Paper | LibreCat-ID: 34072 | OA
Ebbers, Janek, Reinhold Haeb-Umbach, and Romain Serizel. “Threshold Independent Evaluation of Sound Event Detection Scores.” In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022.
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2021 | Conference Paper | LibreCat-ID: 29304 | OA
Ebbers, Janek, Michael Kuhlmann, Tobias Cord-Landwehr, and Reinhold Haeb-Umbach. “Contrastive Predictive Coding Supported Factorized Variational Autoencoder for Unsupervised Learning of Disentangled Speech Representations.” In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 3860–3864, 2021.
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2021 | Conference Paper | LibreCat-ID: 29308 | OA
Ebbers, Janek, and Reinhold Haeb-Umbach. “Self-Trained Audio Tagging and Sound Event Detection in Domestic Environments.” In Proceedings of the 6th Detection and Classification of Acoustic Scenes and Events 2021 Workshop (DCASE2021), 226–230. Barcelona, Spain, 2021.
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2021 | Conference Paper | LibreCat-ID: 29306 | OA
Ebbers, Janek, Moritz Curt Keyser, and Reinhold Haeb-Umbach. “Adapting Sound Recognition to A New Environment Via Self-Training.” In Proceedings of the 29th European Signal Processing Conference (EUSIPCO), 1135–1139, 2021.
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2020 | Conference Paper | LibreCat-ID: 20753 | OA
Ebbers, Janek, and Reinhold Haeb-Umbach. “Forward-Backward Convolutional Recurrent Neural Networks and Tag-Conditioned Convolutional Neural Networks for Weakly Labeled Semi-Supervised Sound Event Detection.” In Proceedings of the Detection and Classification of Acoustic Scenes and Events 2020 Workshop (DCASE2020), 2020.
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2019 | Conference Paper | LibreCat-ID: 15237 | OA
Gburrek, Tobias, Thomas Glarner, Janek Ebbers, Reinhold Haeb-Umbach, and Petra Wagner. “Unsupervised Learning of a Disentangled Speech Representation for Voice Conversion.” In Proc. 10th ISCA Speech Synthesis Workshop, 81–86, 2019. https://doi.org/10.21437/SSW.2019-15.
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2019 | Conference Paper | LibreCat-ID: 15794 | OA
Ebbers, Janek, and Reinhold Haeb-Umbach. “Convolutional Recurrent Neural Network and Data Augmentation for Audio Tagging with Noisy Labels and Minimal Supervision.” In DCASE2019 Workshop, New York, USA, 2019.
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2019 | Conference Paper | LibreCat-ID: 15796 | OA
Ebbers, Janek, Lukas Drude, Reinhold Haeb-Umbach, Andreas Brendel, and Walter Kellermann. “Weakly Supervised Sound Activity Detection and Event Classification in Acoustic Sensor Networks.” In CAMSAP 2019, Guadeloupe, West Indies, 2019.
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2019 | Conference Paper | LibreCat-ID: 15792 | OA
Nelus, Alexandru, Janek Ebbers, Reinhold Haeb-Umbach, and Rainer Martin. “Privacy-Preserving Variational Information Feature Extraction for Domestic Activity Monitoring Versus Speaker Identification.” In INTERSPEECH 2019, Graz, Austria, 2019.
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2018 | Conference Paper | LibreCat-ID: 11760 | OA
Ebbers, Janek, Alexandru Nelus, Rainer Martin, and Reinhold Haeb-Umbach. “Evaluation of Modulation-MFCC Features and DNN Classification for Acoustic Event Detection.” In DAGA 2018, München, 2018.
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2018 | Conference Paper | LibreCat-ID: 11907 | OA
Glarner, Thomas, Patrick Hanebrink, Janek Ebbers, and Reinhold Haeb-Umbach. “Full Bayesian Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery.” In INTERSPEECH 2018, Hyderabad, India, 2018.
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2018 | Conference Paper | LibreCat-ID: 11836 | OA
Ebbers, Janek, Jens Heitkaemper, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. “Benchmarking Neural Network Architectures for Acoustic Sensor Networks.” In ITG 2018, Oldenburg, Germany, 2018.
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2017 | Conference Paper | LibreCat-ID: 11759 | OA
Ebbers, Janek, Jahn Heymann, Lukas Drude, Thomas Glarner, Reinhold Haeb-Umbach, and Bhiksha Raj. “Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery.” In INTERSPEECH 2017, Stockholm, Schweden, 2017.
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