Janek Ebbers

Nachrichtentechnik (NT) / Heinz Nixdorf Institut
ebbers@campus.uni-paderborn.de
ID
34851

17 Publications

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[17]
2023 | Conference Paper | LibreCat-ID: 44849 | OA
F. Rautenberg et al., “Speech Disentanglement for Analysis and Modification of Acoustic and Perceptual Speaker Characteristics,” in Fortschritte der Akustik - DAGA 2023, Hamburg, 2023, pp. 1409–1412.
LibreCat | Files available | Download (ext.)
 
[16]
2023 | Conference Paper | LibreCat-ID: 49111
J. Ebbers, R. Haeb-Umbach, and R. Serizel, “Post-Processing Independent Evaluation of Sound Event Detection Systems,” in Proceedings of the 8th Detection and Classification of Acoustic Scenes and Events 2023 Workshop (DCASE2023), 2023, pp. 36–40.
LibreCat | Files available
 
[15]
2022 | Conference Paper | LibreCat-ID: 33857 | OA
M. Kuhlmann, F. Seebauer, J. Ebbers, P. Wagner, and R. Haeb-Umbach, “Investigation into Target Speaking Rate Adaptation for Voice Conversion,” 2022, doi: 10.21437/interspeech.2022-10740.
LibreCat | Files available | DOI | Download (ext.)
 
[14]
2022 | Conference Paper | LibreCat-ID: 34072 | OA
J. Ebbers, R. Haeb-Umbach, and R. Serizel, “Threshold Independent Evaluation of Sound Event Detection Scores,” 2022.
LibreCat | Files available
 
[13]
2022 | Report | LibreCat-ID: 49113
J. Ebbers and R. Haeb-Umbach, Pre-Training And Self-Training For Sound Event Detection In Domestic Environments. 2022.
LibreCat | Files available
 
[12]
2021 | Conference Paper | LibreCat-ID: 29304 | OA
J. Ebbers, M. Kuhlmann, T. Cord-Landwehr, and R. 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), 2021, pp. 3860–3864.
LibreCat | Files available
 
[11]
2021 | Conference Paper | LibreCat-ID: 29308 | OA
J. Ebbers and R. 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), 2021, pp. 226–230.
LibreCat | Files available
 
[10]
2021 | Conference Paper | LibreCat-ID: 29306 | OA
J. Ebbers, M. C. Keyser, and R. Haeb-Umbach, “Adapting Sound Recognition to A New Environment Via Self-Training,” in Proceedings of the 29th European Signal Processing Conference (EUSIPCO), 2021, pp. 1135–1139.
LibreCat | Files available
 
[9]
2020 | Conference Paper | LibreCat-ID: 20753 | OA
J. Ebbers and R. Haeb-Umbach, “Forward-Backward Convolutional Recurrent Neural Networks and Tag-Conditioned Convolutional Neural Networks for Weakly Labeled Semi-Supervised Sound Event Detection,” 2020.
LibreCat | Files available
 
[8]
2019 | Conference Paper | LibreCat-ID: 15237 | OA
T. Gburrek, T. Glarner, J. Ebbers, R. Haeb-Umbach, and P. Wagner, “Unsupervised Learning of a Disentangled Speech Representation for Voice Conversion,” in Proc. 10th ISCA Speech Synthesis Workshop, Vienna, 2019, pp. 81–86, doi: 10.21437/SSW.2019-15.
LibreCat | Files available | DOI | Download (ext.)
 
[7]
2019 | Conference Paper | LibreCat-ID: 15794 | OA
J. Ebbers and R. Haeb-Umbach, “Convolutional Recurrent Neural Network and Data Augmentation for Audio Tagging with Noisy Labels and Minimal Supervision,” 2019.
LibreCat | Files available
 
[6]
2019 | Conference Paper | LibreCat-ID: 15796 | OA
J. Ebbers, L. Drude, R. Haeb-Umbach, A. Brendel, and W. Kellermann, “Weakly Supervised Sound Activity Detection and Event Classification in Acoustic Sensor Networks,” 2019.
LibreCat | Files available
 
[5]
2019 | Conference Paper | LibreCat-ID: 15792 | OA
A. Nelus, J. Ebbers, R. Haeb-Umbach, and R. Martin, “Privacy-preserving Variational Information Feature Extraction for Domestic Activity Monitoring Versus Speaker Identification,” 2019.
LibreCat | Files available
 
[4]
2018 | Conference Paper | LibreCat-ID: 11760 | OA
J. Ebbers, A. Nelus, R. Martin, and R. Haeb-Umbach, “Evaluation of Modulation-MFCC Features and DNN Classification for Acoustic Event Detection,” in DAGA 2018, München, 2018.
LibreCat | Download (ext.)
 
[3]
2018 | Conference Paper | LibreCat-ID: 11907 | OA
T. Glarner, P. Hanebrink, J. Ebbers, and R. Haeb-Umbach, “Full Bayesian Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery,” 2018.
LibreCat | Files available | Download (ext.)
 
[2]
2018 | Conference Paper | LibreCat-ID: 11836 | OA
J. Ebbers, J. Heitkaemper, J. Schmalenstroeer, and R. Haeb-Umbach, “Benchmarking Neural Network Architectures for Acoustic Sensor Networks,” 2018.
LibreCat | Files available | Download (ext.)
 
[1]
2017 | Conference Paper | LibreCat-ID: 11759 | OA
J. Ebbers, J. Heymann, L. Drude, T. Glarner, R. Haeb-Umbach, and B. Raj, “Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery,” 2017.
LibreCat | Files available | Download (ext.)
 
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17 Publications

Mark all

[17]
2023 | Conference Paper | LibreCat-ID: 44849 | OA
F. Rautenberg et al., “Speech Disentanglement for Analysis and Modification of Acoustic and Perceptual Speaker Characteristics,” in Fortschritte der Akustik - DAGA 2023, Hamburg, 2023, pp. 1409–1412.
LibreCat | Files available | Download (ext.)
 
[16]
2023 | Conference Paper | LibreCat-ID: 49111
J. Ebbers, R. Haeb-Umbach, and R. Serizel, “Post-Processing Independent Evaluation of Sound Event Detection Systems,” in Proceedings of the 8th Detection and Classification of Acoustic Scenes and Events 2023 Workshop (DCASE2023), 2023, pp. 36–40.
LibreCat | Files available
 
[15]
2022 | Conference Paper | LibreCat-ID: 33857 | OA
M. Kuhlmann, F. Seebauer, J. Ebbers, P. Wagner, and R. Haeb-Umbach, “Investigation into Target Speaking Rate Adaptation for Voice Conversion,” 2022, doi: 10.21437/interspeech.2022-10740.
LibreCat | Files available | DOI | Download (ext.)
 
[14]
2022 | Conference Paper | LibreCat-ID: 34072 | OA
J. Ebbers, R. Haeb-Umbach, and R. Serizel, “Threshold Independent Evaluation of Sound Event Detection Scores,” 2022.
LibreCat | Files available
 
[13]
2022 | Report | LibreCat-ID: 49113
J. Ebbers and R. Haeb-Umbach, Pre-Training And Self-Training For Sound Event Detection In Domestic Environments. 2022.
LibreCat | Files available
 
[12]
2021 | Conference Paper | LibreCat-ID: 29304 | OA
J. Ebbers, M. Kuhlmann, T. Cord-Landwehr, and R. 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), 2021, pp. 3860–3864.
LibreCat | Files available
 
[11]
2021 | Conference Paper | LibreCat-ID: 29308 | OA
J. Ebbers and R. 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), 2021, pp. 226–230.
LibreCat | Files available
 
[10]
2021 | Conference Paper | LibreCat-ID: 29306 | OA
J. Ebbers, M. C. Keyser, and R. Haeb-Umbach, “Adapting Sound Recognition to A New Environment Via Self-Training,” in Proceedings of the 29th European Signal Processing Conference (EUSIPCO), 2021, pp. 1135–1139.
LibreCat | Files available
 
[9]
2020 | Conference Paper | LibreCat-ID: 20753 | OA
J. Ebbers and R. Haeb-Umbach, “Forward-Backward Convolutional Recurrent Neural Networks and Tag-Conditioned Convolutional Neural Networks for Weakly Labeled Semi-Supervised Sound Event Detection,” 2020.
LibreCat | Files available
 
[8]
2019 | Conference Paper | LibreCat-ID: 15237 | OA
T. Gburrek, T. Glarner, J. Ebbers, R. Haeb-Umbach, and P. Wagner, “Unsupervised Learning of a Disentangled Speech Representation for Voice Conversion,” in Proc. 10th ISCA Speech Synthesis Workshop, Vienna, 2019, pp. 81–86, doi: 10.21437/SSW.2019-15.
LibreCat | Files available | DOI | Download (ext.)
 
[7]
2019 | Conference Paper | LibreCat-ID: 15794 | OA
J. Ebbers and R. Haeb-Umbach, “Convolutional Recurrent Neural Network and Data Augmentation for Audio Tagging with Noisy Labels and Minimal Supervision,” 2019.
LibreCat | Files available
 
[6]
2019 | Conference Paper | LibreCat-ID: 15796 | OA
J. Ebbers, L. Drude, R. Haeb-Umbach, A. Brendel, and W. Kellermann, “Weakly Supervised Sound Activity Detection and Event Classification in Acoustic Sensor Networks,” 2019.
LibreCat | Files available
 
[5]
2019 | Conference Paper | LibreCat-ID: 15792 | OA
A. Nelus, J. Ebbers, R. Haeb-Umbach, and R. Martin, “Privacy-preserving Variational Information Feature Extraction for Domestic Activity Monitoring Versus Speaker Identification,” 2019.
LibreCat | Files available
 
[4]
2018 | Conference Paper | LibreCat-ID: 11760 | OA
J. Ebbers, A. Nelus, R. Martin, and R. Haeb-Umbach, “Evaluation of Modulation-MFCC Features and DNN Classification for Acoustic Event Detection,” in DAGA 2018, München, 2018.
LibreCat | Download (ext.)
 
[3]
2018 | Conference Paper | LibreCat-ID: 11907 | OA
T. Glarner, P. Hanebrink, J. Ebbers, and R. Haeb-Umbach, “Full Bayesian Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery,” 2018.
LibreCat | Files available | Download (ext.)
 
[2]
2018 | Conference Paper | LibreCat-ID: 11836 | OA
J. Ebbers, J. Heitkaemper, J. Schmalenstroeer, and R. Haeb-Umbach, “Benchmarking Neural Network Architectures for Acoustic Sensor Networks,” 2018.
LibreCat | Files available | Download (ext.)
 
[1]
2017 | Conference Paper | LibreCat-ID: 11759 | OA
J. Ebbers, J. Heymann, L. Drude, T. Glarner, R. Haeb-Umbach, and B. Raj, “Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery,” 2017.
LibreCat | Files available | Download (ext.)
 
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Citation Style: IEEE

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