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17 Publications
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.” In DCASE2019 Workshop, New York, USA, 2019.
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2019 | Conference Paper | LibreCat-ID: 15796 |
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 |
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 |
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 |
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 |
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 |
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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