Janek Ebbers

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

15 Publications

Mark all

[15]
2023 | Conference Paper | LibreCat-ID: 44849 | OA
Rautenberg, Frederik, et al. “Speech Disentanglement for Analysis and Modification of Acoustic and Perceptual Speaker Characteristics.” Fortschritte Der Akustik - DAGA 2023, 2023, pp. 1409–12.
LibreCat | Files available | Download (ext.)
 
[14]
2022 | Conference Paper | LibreCat-ID: 33857 | OA
Kuhlmann, Michael, et al. “Investigation into Target Speaking Rate Adaptation for Voice Conversion.” Interspeech 2022, ISCA, 2022, doi:10.21437/interspeech.2022-10740.
LibreCat | Files available | DOI | Download (ext.)
 
[13]
2022 | Conference Paper | LibreCat-ID: 34072 | OA
Ebbers, Janek, et al. “Threshold Independent Evaluation of Sound Event Detection Scores.” Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022.
LibreCat | Files available
 
[12]
2021 | Conference Paper | LibreCat-ID: 29304 | OA
Ebbers, Janek, et al. “Contrastive Predictive Coding Supported Factorized Variational Autoencoder for Unsupervised Learning of Disentangled Speech Representations.” 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
Ebbers, Janek, and Reinhold Haeb-Umbach. “Self-Trained Audio Tagging and Sound Event Detection in Domestic Environments.” 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
Ebbers, Janek, et al. “Adapting Sound Recognition to A New Environment Via Self-Training.” Proceedings of the 29th European Signal Processing Conference (EUSIPCO), 2021, pp. 1135–1139.
LibreCat | Files available
 
[9]
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.” Proceedings of the Detection and Classification of Acoustic Scenes and Events 2020 Workshop (DCASE2020), 2020.
LibreCat | Files available
 
[8]
2019 | Conference Paper | LibreCat-ID: 15237 | OA
Gburrek, Tobias, et al. “Unsupervised Learning of a Disentangled Speech Representation for Voice Conversion.” Proc. 10th ISCA Speech Synthesis Workshop, 2019, pp. 81–86, doi:10.21437/SSW.2019-15.
LibreCat | Files available | DOI | Download (ext.)
 
[7]
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.” DCASE2019 Workshop, New York, USA, 2019.
LibreCat | Files available
 
[6]
2019 | Conference Paper | LibreCat-ID: 15796 | OA
Ebbers, Janek, et al. “Weakly Supervised Sound Activity Detection and Event Classification in Acoustic Sensor Networks.” CAMSAP 2019, Guadeloupe, West Indies, 2019.
LibreCat | Files available
 
[5]
2019 | Conference Paper | LibreCat-ID: 15792 | OA
Nelus, Alexandru, et al. “Privacy-Preserving Variational Information Feature Extraction for Domestic Activity Monitoring Versus Speaker Identification.” INTERSPEECH 2019, Graz, Austria, 2019.
LibreCat | Files available
 
[4]
2018 | Conference Paper | LibreCat-ID: 11760 | OA
Ebbers, Janek, et al. “Evaluation of Modulation-MFCC Features and DNN Classification for Acoustic Event Detection.” DAGA 2018, München, 2018.
LibreCat | Download (ext.)
 
[3]
2018 | Conference Paper | LibreCat-ID: 11907 | OA
Glarner, Thomas, et al. “Full Bayesian Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery.” INTERSPEECH 2018, Hyderabad, India, 2018.
LibreCat | Files available | Download (ext.)
 
[2]
2018 | Conference Paper | LibreCat-ID: 11836 | OA
Ebbers, Janek, et al. “Benchmarking Neural Network Architectures for Acoustic Sensor Networks.” ITG 2018, Oldenburg, Germany, 2018.
LibreCat | Files available | Download (ext.)
 
[1]
2017 | Conference Paper | LibreCat-ID: 11759 | OA
Ebbers, Janek, et al. “Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery.” INTERSPEECH 2017, Stockholm, Schweden, 2017.
LibreCat | Files available | Download (ext.)
 
Marked Publication(s)

Search

Filter Publications

Display / Sort

Citation Style: MLA

Export / Embed

15 Publications

Mark all

[15]
2023 | Conference Paper | LibreCat-ID: 44849 | OA
Rautenberg, Frederik, et al. “Speech Disentanglement for Analysis and Modification of Acoustic and Perceptual Speaker Characteristics.” Fortschritte Der Akustik - DAGA 2023, 2023, pp. 1409–12.
LibreCat | Files available | Download (ext.)
 
[14]
2022 | Conference Paper | LibreCat-ID: 33857 | OA
Kuhlmann, Michael, et al. “Investigation into Target Speaking Rate Adaptation for Voice Conversion.” Interspeech 2022, ISCA, 2022, doi:10.21437/interspeech.2022-10740.
LibreCat | Files available | DOI | Download (ext.)
 
[13]
2022 | Conference Paper | LibreCat-ID: 34072 | OA
Ebbers, Janek, et al. “Threshold Independent Evaluation of Sound Event Detection Scores.” Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022.
LibreCat | Files available
 
[12]
2021 | Conference Paper | LibreCat-ID: 29304 | OA
Ebbers, Janek, et al. “Contrastive Predictive Coding Supported Factorized Variational Autoencoder for Unsupervised Learning of Disentangled Speech Representations.” 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
Ebbers, Janek, and Reinhold Haeb-Umbach. “Self-Trained Audio Tagging and Sound Event Detection in Domestic Environments.” 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
Ebbers, Janek, et al. “Adapting Sound Recognition to A New Environment Via Self-Training.” Proceedings of the 29th European Signal Processing Conference (EUSIPCO), 2021, pp. 1135–1139.
LibreCat | Files available
 
[9]
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.” Proceedings of the Detection and Classification of Acoustic Scenes and Events 2020 Workshop (DCASE2020), 2020.
LibreCat | Files available
 
[8]
2019 | Conference Paper | LibreCat-ID: 15237 | OA
Gburrek, Tobias, et al. “Unsupervised Learning of a Disentangled Speech Representation for Voice Conversion.” Proc. 10th ISCA Speech Synthesis Workshop, 2019, pp. 81–86, doi:10.21437/SSW.2019-15.
LibreCat | Files available | DOI | Download (ext.)
 
[7]
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.” DCASE2019 Workshop, New York, USA, 2019.
LibreCat | Files available
 
[6]
2019 | Conference Paper | LibreCat-ID: 15796 | OA
Ebbers, Janek, et al. “Weakly Supervised Sound Activity Detection and Event Classification in Acoustic Sensor Networks.” CAMSAP 2019, Guadeloupe, West Indies, 2019.
LibreCat | Files available
 
[5]
2019 | Conference Paper | LibreCat-ID: 15792 | OA
Nelus, Alexandru, et al. “Privacy-Preserving Variational Information Feature Extraction for Domestic Activity Monitoring Versus Speaker Identification.” INTERSPEECH 2019, Graz, Austria, 2019.
LibreCat | Files available
 
[4]
2018 | Conference Paper | LibreCat-ID: 11760 | OA
Ebbers, Janek, et al. “Evaluation of Modulation-MFCC Features and DNN Classification for Acoustic Event Detection.” DAGA 2018, München, 2018.
LibreCat | Download (ext.)
 
[3]
2018 | Conference Paper | LibreCat-ID: 11907 | OA
Glarner, Thomas, et al. “Full Bayesian Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery.” INTERSPEECH 2018, Hyderabad, India, 2018.
LibreCat | Files available | Download (ext.)
 
[2]
2018 | Conference Paper | LibreCat-ID: 11836 | OA
Ebbers, Janek, et al. “Benchmarking Neural Network Architectures for Acoustic Sensor Networks.” ITG 2018, Oldenburg, Germany, 2018.
LibreCat | Files available | Download (ext.)
 
[1]
2017 | Conference Paper | LibreCat-ID: 11759 | OA
Ebbers, Janek, et al. “Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery.” INTERSPEECH 2017, Stockholm, Schweden, 2017.
LibreCat | Files available | Download (ext.)
 
Marked Publication(s)

Search

Filter Publications

Display / Sort

Citation Style: MLA

Export / Embed