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15 Publications
2023 | Conference Paper | LibreCat-ID: 44849 | 
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.
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2022 | Conference Paper | LibreCat-ID: 33857 |
Kuhlmann, Michael, et al. “Investigation into Target Speaking Rate Adaptation for Voice Conversion.” Interspeech 2022, ISCA, 2022, doi:10.21437/interspeech.2022-10740.
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2022 | Conference Paper | LibreCat-ID: 34072 |
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.
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2021 | Conference Paper | LibreCat-ID: 29304 |
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.
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2021 | Conference Paper | LibreCat-ID: 29308 |
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.
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2021 | Conference Paper | LibreCat-ID: 29306 |
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.
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2020 | Conference Paper | LibreCat-ID: 20753 |
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.
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2019 | Conference Paper | LibreCat-ID: 15237 |
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.
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2019 | Conference Paper | LibreCat-ID: 15794 |
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.
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2019 | Conference Paper | LibreCat-ID: 15796 |
Ebbers, Janek, et al. “Weakly Supervised Sound Activity Detection and Event Classification in Acoustic Sensor Networks.” CAMSAP 2019, Guadeloupe, West Indies, 2019.
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2019 | Conference Paper | LibreCat-ID: 15792 |
Nelus, Alexandru, et al. “Privacy-Preserving Variational Information Feature Extraction for Domestic Activity Monitoring Versus Speaker Identification.” INTERSPEECH 2019, Graz, Austria, 2019.
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2018 | Conference Paper | LibreCat-ID: 11760 |
Ebbers, Janek, et al. “Evaluation of Modulation-MFCC Features and DNN Classification for Acoustic Event Detection.” DAGA 2018, München, 2018.
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2018 | Conference Paper | LibreCat-ID: 11907 |
Glarner, Thomas, et al. “Full Bayesian Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery.” INTERSPEECH 2018, Hyderabad, India, 2018.
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2018 | Conference Paper | LibreCat-ID: 11836 |
Ebbers, Janek, et al. “Benchmarking Neural Network Architectures for Acoustic Sensor Networks.” ITG 2018, Oldenburg, Germany, 2018.
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2017 | Conference Paper | LibreCat-ID: 11759 |
Ebbers, Janek, et al. “Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery.” INTERSPEECH 2017, Stockholm, Schweden, 2017.
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