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32 Publications
2019 | Conference Paper | LibreCat-ID: 11965 | 
Drude, L., Heymann, J., & Haeb-Umbach, R. (2019). Unsupervised training of neural mask-based beamforming. In INTERSPEECH 2019, Graz, Austria.
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2019 | Conference Paper | LibreCat-ID: 12874 |
Drude, L., Hasenklever, D., & Haeb-Umbach, R. (2019). Unsupervised Training of a Deep Clustering Model for Multichannel Blind Source Separation. In ICASSP 2019, Brighton, UK.
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2019 | Conference Paper | LibreCat-ID: 12875 |
Heymann, J., Drude, L., Haeb-Umbach, R., Kinoshita, K., & Nakatani, T. (2019). Joint Optimization of Neural Network-based WPE Dereverberation and Acoustic Model for Robust Online ASR. In ICASSP 2019, Brighton, UK.
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2019 | Conference Paper | LibreCat-ID: 12876 |
Kurz, G., Gilitschenski, I., Pfaff, F., Drude, L., Hanebeck, U. D., Haeb-Umbach, R., & Siegwart, R. Y. (2019). Directional Statistics and Filtering Using libDirectional. In Journal of Statistical Software 89(4).
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2019 | Journal Article | LibreCat-ID: 12890 |
Drude, L., & Haeb-Umbach, R. (2019). Integration of Neural Networks and Probabilistic Spatial Models for Acoustic Blind Source Separation. IEEE Journal of Selected Topics in Signal Processing. https://doi.org/10.1109/JSTSP.2019.2912565
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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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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: 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 | 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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2018 | Conference Paper | LibreCat-ID: 12900 |
Drude, L., Higuchi, Takuya , Kinoshita, K., Nakatani, T., & Haeb-Umbach, R. (2018). Dual Frequency- and Block-Permutation Alignment for Deep Learning Based Block-Online Blind Source Separation. In ICASSP 2018, Calgary, Canada.
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2018 | Conference Paper | LibreCat-ID: 12899 |
Boeddeker, C., Heitkaemper, J., Schmalenstroeer, J., Drude, L., Heymann, J., & Haeb-Umbach, R. (2018). Front-End Processing for the CHiME-5 Dinner Party Scenario. Proc. CHiME 2018 Workshop on Speech Processing in Everyday Environments, Hyderabad, India.
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2018 | Conference Paper | LibreCat-ID: 11876 |
Kitza, M., Michel, W., Boeddeker, C., Heitkaemper, J., Menne, T., Schlüter, R., Ney, H., Schmalenstroeer, J., Drude, L., Heymann, J., & Haeb-Umbach, R. (2018). The RWTH/UPB System Combination for the CHiME 2018 Workshop. Proc. CHiME 2018 Workshop on Speech Processing in Everyday Environments, Hyderabad, India.
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2017 | Report | LibreCat-ID: 11735 |
Boeddeker, C., Hanebrink, P., Drude, L., Heymann, J., & Haeb-Umbach, R. (2017). On the Computation of Complex-valued Gradients with Application to Statistically Optimum Beamforming.
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2017 | Conference Paper | LibreCat-ID: 11736 |
Boeddeker, C., Hanebrink, P., Drude, L., Heymann, J., & Haeb-Umbach, R. (2017). Optimizing Neural-Network Supported Acoustic Beamforming by Algorithmic Differentiation. In Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP).
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2017 | Conference Paper | LibreCat-ID: 11754 |
Drude, L., & Haeb-Umbach, R. (2017). Tight integration of spatial and spectral features for BSS with Deep Clustering embeddings. In INTERSPEECH 2017, Stockholm, Schweden.
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2017 | Conference Paper | LibreCat-ID: 11809 |
Heymann, J., Drude, L., Boeddeker, C., Hanebrink, P., & Haeb-Umbach, R. (2017). BEAMNET: End-to-End Training of a Beamformer-Supported Multi-Channel ASR System. In Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP).
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2017 | Journal Article | LibreCat-ID: 11811 |
Heymann, J., Drude, L., & Haeb-Umbach, R. (2017). A Generic Neural Acoustic Beamforming Architecture for Robust Multi-Channel Speech Processing. Computer Speech and Language.
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2017 | Conference Paper | LibreCat-ID: 11759 |
Ebbers, J., Heymann, J., Drude, L., Glarner, T., Haeb-Umbach, R., & Raj, B. (2017). Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery. INTERSPEECH 2017, Stockholm, Schweden.
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2017 | Conference Paper | LibreCat-ID: 11895 |
Schmalenstroeer, J., Heymann, J., Drude, L., Boeddeker, C., & Haeb-Umbach, R. (2017). Multi-Stage Coherence Drift Based Sampling Rate Synchronization for Acoustic Beamforming. IEEE 19th International Workshop on Multimedia Signal Processing (MMSP).
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2016 | Conference Paper | LibreCat-ID: 11744 |
Chinaev, A., Heymann, J., Drude, L., & Haeb-Umbach, R. (2016). Noise-Presence-Probability-Based Noise PSD Estimation by Using DNNs. In 12. ITG Fachtagung Sprachkommunikation (ITG 2016).
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2016 | Conference Paper | LibreCat-ID: 11751 |
Drude, L., Boeddeker, C., & Haeb-Umbach, R. (2016). Blind Speech Separation based on Complex Spherical k-Mode Clustering. In Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP).
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2016 | Conference Paper | LibreCat-ID: 11756 |
Drude, L., Raj, B., & Haeb-Umbach, R. (2016). On the appropriateness of complex-valued neural networks for speech enhancement. In INTERSPEECH 2016, San Francisco, USA.
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2016 | Conference Paper | LibreCat-ID: 11771 |
Glarner, T., Mahdi Momenzadeh, M., Drude, L., & Haeb-Umbach, R. (2016). Factor Graph Decoding for Speech Presence Probability Estimation. In 12. ITG Fachtagung Sprachkommunikation (ITG 2016).
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2016 | Conference Paper | LibreCat-ID: 11812 |
Heymann, J., Drude, L., & Haeb-Umbach, R. (2016). Neural Network Based Spectral Mask Estimation for Acoustic Beamforming. In Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP).
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2016 | Conference Paper | LibreCat-ID: 11834 |
Heymann, J., Drude, L., & Haeb-Umbach, R. (2016). Wide Residual BLSTM Network with Discriminative Speaker Adaptation for Robust Speech Recognition. In Computer Speech and Language.
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2016 | Conference Paper | LibreCat-ID: 11908 |
Menne, T., Heymann, J., Alexandridis, A., Irie, K., Zeyer, A., Kitza, M., … Mouchtaris, A. (2016). The RWTH/UPB/FORTH System Combination for the 4th CHiME Challenge Evaluation. In Computer Speech and Language.
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2015 | Conference Paper | LibreCat-ID: 11755 |
Drude, L., Jacob, F., & Haeb-Umbach, R. (2015). DOA-Estimation based on a Complex Watson Kernel Method. In 23th European Signal Processing Conference (EUSIPCO 2015).
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2015 | Conference Paper | LibreCat-ID: 11810
Heymann, J., Drude, L., Chinaev, A., & Haeb-Umbach, R. (2015). BLSTM supported GEV Beamformer Front-End for the 3RD CHiME Challenge. In Automatic Speech Recognition and Understanding Workshop (ASRU 2015).
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2015 | Conference Paper | LibreCat-ID: 11919 |
Walter, O., Drude, L., & Haeb-Umbach, R. (2015). Source Counting in Speech Mixtures by Nonparametric Bayesian Estimation of an infinite Gaussian Mixture Model. In 40th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015).
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2014 | Conference Paper | LibreCat-ID: 11752 |
Drude, L., Chinaev, A., Tran Vu, D. H., & Haeb-Umbach, R. (2014). Source Counting in Speech Mixtures Using a Variational EM Approach for Complexwatson Mixture Models. In 39th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014).
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2014 | Conference Paper | LibreCat-ID: 11753 |
Drude, L., Chinaev, A., Tran Vu, D. H., & Haeb-Umbach, R. (2014). Towards Online Source Counting in Speech Mixtures Applying a Variational EM for Complex Watson Mixture Models. In 14th International Workshop on Acoustic Signal Enhancement (IWAENC 2014) (pp. 213–217).
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