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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Kuhlmann, Michael, et al. “Investigation into Target Speaking Rate Adaptation for Voice Conversion.”10.21437/interspeech.2022-10740__Interspeech 2022, ISCA, 2022, doi:10.21437/interspeech.2022-10740.
LibreCat: /record/33857
DOI: 10.21437/interspeech.2022-10740

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: /record/34072

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: /record/29304

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 (DCA), 2021, pp. 226–230.
LibreCat: /record/29308

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: /record/29306

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 (DCA), 2020.
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Gburrek, Tobias, et al. “Unsupervised Learning of a Disentangled Speech Representation for Voice Conversion.”10.21437/SSW.2019-15__Proc. 10th ISCA Speech Synthesis Workshop, 2019, pp. 81–86, doi:10.21437/SSW.2019-15.
LibreCat: /record/15237
DOI: 10.21437/SSW.2019-15

Ebbers, Janek, and Reinhold Haeb-Umbach. “Convolutional Recurrent Neural Network and Data Augmentation for Audio Tagging with Noisy Labels and Minimal Supervision.” DCA Workshop, New York, USA, 2019.
LibreCat: /record/15794

Ebbers, Janek, et al. “Weakly Supervised Sound Activity Detection and Event Classification in Acoustic Sensor Networks.” CAMSAP 2019, Guadeloupe, West Indies, 2019.
LibreCat: /record/15796

Nelus, Alexandru, et al. “Privacy-Preserving Variational Information Feature Extraction for Domestic Activity Monitoring Versus Speaker Identification.” INTERSPEECH 2019, Graz, Austria, 2019.
LibreCat: /record/15792

Ebbers, Janek, et al. “Evaluation of Modulation-MFCC Features and DNN Classification for Acoustic Event Detection.” DAGA 2018, München, 2018.
LibreCat: /record/11760

Glarner, Thomas, et al. “Full Bayesian Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery.” INTERSPEECH 2018, Hyderabad, India, 2018.
LibreCat: /record/11907

Ebbers, Janek, et al. “Benchmarking Neural Network Architectures for Acoustic Sensor Networks.” ITG 2018, Oldenburg, Germany, 2018.
LibreCat: /record/11836

Ebbers, Janek, et al. “Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery.” INTERSPEECH 2017, Stockholm, Schweden, 2017.
LibreCat: /record/11759