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318 Publications
2019 | Conference Paper | LibreCat-ID: 15796 | 
Ebbers, J., Drude, L., Haeb-Umbach, R., Brendel, A., & Kellermann, W. (2019). Weakly Supervised Sound Activity Detection and Event Classification in Acoustic Sensor Networks. CAMSAP 2019, Guadeloupe, West Indies.
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2019 | Conference Paper | LibreCat-ID: 15792 |
Nelus, A., Ebbers, J., Haeb-Umbach, R., & Martin, R. (2019). Privacy-preserving Variational Information Feature Extraction for Domestic Activity Monitoring Versus Speaker Identification. INTERSPEECH 2019, Graz, Austria.
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2018 | Conference Paper | LibreCat-ID: 18107
Heymann, J., Bacchiani, M., & Sainath, T. N. (2018). Performance of Mask Based Statistical Beamforming in a Smart Home Scenario. In 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 6722–6726). https://doi.org/10.1109/ICASSP.2018.8462372
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2018 | Conference Paper | LibreCat-ID: 11760 |
Ebbers, J., Nelus, A., Martin, R., & Haeb-Umbach, R. (2018). Evaluation of Modulation-MFCC Features and DNN Classification for Acoustic Event Detection. In DAGA 2018, München.
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2018 | Conference Paper | LibreCat-ID: 11835 |
Heymann, J., Drude, L., Haeb-Umbach, R., Kinoshita, K., & Nakatani, T. (2018). Frame-Online DNN-WPE Dereverberation. In IWAENC 2018, Tokio, Japan.
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2018 | Conference Paper | LibreCat-ID: 11837 |
Heitkaemper, J., Heymann, J., & Haeb-Umbach, R. (2018). Smoothing along Frequency in Online Neural Network Supported Acoustic Beamforming. In ITG 2018, Oldenburg, Germany.
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2018 | Conference Paper | LibreCat-ID: 11872 |
Drude, L., Boeddeker, C., Heymann, J., Kinoshita, K., Delcroix, M., Nakatani, T., & Haeb-Umbach, R. (2018). Integration neural network based beamforming and weighted prediction error dereverberation. In INTERSPEECH 2018, Hyderabad, India.
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2018 | Conference Paper | LibreCat-ID: 11873 |
Drude, L., Heymann, J., Boeddeker, C., & Haeb-Umbach, R. (2018). NARA-WPE: A Python package for weighted prediction error dereverberation in Numpy and Tensorflow for online and offline processing. In ITG 2018, Oldenburg, Germany.
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2018 | Journal Article | LibreCat-ID: 11916 |
Despotovic, V., Walter, O., & Haeb-Umbach, R. (2018). Machine learning techniques for semantic analysis of dysarthric speech: An experimental study. Speech Communication 99 (2018) 242-251 (Elsevier B.V.).
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2018 | Conference Paper | LibreCat-ID: 12898 |
Drude, L., von Neumann, T., & Haeb-Umbach, R. (2018). Deep Attractor Networks for Speaker Re-Identifikation and Blind Source Separation. In ICASSP 2018, Calgary, Canada.
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