| Neural network based spectral mask estimation for acoustic beamforming J Heymann, L Drude, R Haeb-Umbach 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 477 | 2016 |
| Photovoltaics (PV) and electric vehicle-to-grid (V2G) strategies for peak demand reduction in urban regions in Brazil in a smart grid environment L Drude, LCP Junior, R Rüther Renewable Energy 68, 443-451, 2014 | 165 | 2014 |
| BLSTM supported GEV beamformer front-end for the 3rd CHiME challenge J Heymann, L Drude, A Chinaev, R Haeb-Umbach 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU …, 2015 | 164 | 2015 |
| Beamnet: End-to-end training of a beamformer-supported multi-channel ASR system J Heymann, L Drude, C Boeddeker, P Hanebrink, R Haeb-Umbach 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 129 | 2017 |
| Front-end processing for the CHiME-5 dinner party scenario C Boeddeker, J Heitkaemper, J Schmalenstroeer, L Drude, J Heymann, ... CHiME5 Workshop, Hyderabad, India 1, 2018 | 98 | 2018 |
| NARA-WPE: A Python package for weighted prediction error dereverberation in Numpy and Tensorflow for online and offline processing L Drude, J Heymann, C Boeddeker, R Haeb-Umbach Speech Communication; 13th ITG-Symposium, 1-5, 2018 | 95 | 2018 |
| Far-field automatic speech recognition R Haeb-Umbach, J Heymann, L Drude, S Watanabe, M Delcroix, ... Proceedings of the IEEE 109 (2), 124-148, 2020 | 71 | 2020 |
| Listening to each speaker one by one with recurrent selective hearing networks K Kinoshita, L Drude, M Delcroix, T Nakatani 2018 IEEE international conference on acoustics, speech and signal …, 2018 | 71 | 2018 |
| SMS-WSJ: Database, performance measures, and baseline recipe for multi-channel source separation and recognition L Drude, J Heitkaemper, C Boeddeker, R Haeb-Umbach arXiv preprint arXiv:1910.13934, 2019 | 66 | 2019 |
| Wide residual BLSTM network with discriminative speaker adaptation for robust speech recognition LD Jahn Heymann, R Haeb-Umbach CHiME 2016 workshop 78, 79, 2016 | 66 | 2016 |
| A generic neural acoustic beamforming architecture for robust multi-channel speech processing J Heymann, L Drude, R Haeb-Umbach Computer Speech & Language 46, 374-385, 2017 | 56 | 2017 |
| Unsupervised training of a deep clustering model for multichannel blind source separation L Drude, D Hasenklever, R Haeb-Umbach ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 54 | 2019 |
| Tight Integration of Spatial and Spectral Features for BSS with Deep Clustering Embeddings. L Drude, R Haeb-Umbach Interspeech, 2650-2654, 2017 | 53 | 2017 |
| Demystifying TasNet: A dissecting approach J Heitkaemper, D Jakobeit, C Boeddeker, L Drude, R Haeb-Umbach ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 51 | 2020 |
| The RWTH/UPB/FORTH system combination for the 4th CHiME challenge evaluation T Menne Deutsche Nationalbibliothek, 2016 | 49 | 2016 |
| Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery. J Ebbers, J Heymann, L Drude, T Glarner, R Haeb-Umbach, B Raj InterSpeech, 488-492, 2017 | 46 | 2017 |
| Integrating Neural Network Based Beamforming and Weighted Prediction Error Dereverberation. L Drude, C Boeddeker, J Heymann, R Haeb-Umbach, K Kinoshita, ... Interspeech, 3043-3047, 2018 | 40 | 2018 |
| Multi-talker ASR for an unknown number of sources: Joint training of source counting, separation and ASR T von Neumann, C Boeddeker, L Drude, K Kinoshita, M Delcroix, ... arXiv preprint arXiv:2006.02786, 2020 | 39 | 2020 |
| Integration of neural networks and probabilistic spatial models for acoustic blind source separation L Drude, R Haeb-Umbach IEEE Journal of Selected Topics in Signal Processing 13 (4), 815-826, 2019 | 39 | 2019 |
| On the computation of complex-valued gradients with application to statistically optimum beamforming C Boeddeker, P Hanebrink, L Drude, J Heymann, R Haeb-Umbach arXiv preprint arXiv:1701.00392, 2017 | 37 | 2017 |
Reinhold Haeb-UmbachProfessor of Communications Engineering, University of PaderbornVerified email at nt.uni-paderborn.de
