| Multi-class Linear Dimension Reduction by Weighted Pairwise Fisher Criteria M Loog, RPW Duin, R Haeb-Umbach IEEE Transactions on Pattern Analysis and Machine Intelligence 23 (7), 2001 | 604 | 2001 |
| An overview of noise-robust automatic speech recognition J Li, L Deng, Y Gong, R Haeb-Umbach IEEE/ACM Transactions on Audio, Speech, and Language Processing 22 (4), 745-777, 2014 | 599 | 2014 |
| Linear discriminant analysis for improved large vocabulary continuous speech recognition. R Haeb-Umbach, H Ney icassp 92, 13-16, 1992 | 512 | 1992 |
| 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 | 435 | 2016 |
| The REVERB Challenge: A Common Evaluation Framework for Dereverberation and Recognition of Reverberant Speech K Kinoshita, M Delcroix, T Yoshioka, T Nakatani, E Habets, ... IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2013 | 423 | 2013 |
| A summary of the REVERB challenge: state-of-the-art and remaining challenges in reverberant speech processing research K Kinoshita, M Delcroix, S Gannot, EA P. Habets, R Haeb-Umbach, ... EURASIP Journal on Advances in Signal Processing 2016, 1-19, 2016 | 378 | 2016 |
| Improvements in beam search for 10000-word continuous speech recognition H Ney, R Haeb-Umbach, BH Tran, M Oerder [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics …, 1992 | 288 | 1992 |
| Blind acoustic beamforming based on generalized eigenvalue decomposition E Warsitz, R Haeb-Umbach IEEE Transactions on audio, speech, and language processing 15 (5), 1529-1539, 2007 | 234 | 2007 |
| Robust automatic speech recognition: a bridge to practical applications J Li, L Deng, R Haeb-Umbach, Y Gong Academic Press, 2015 | 180 | 2015 |
| A Systematic Approach to Carrier Recovery and Detection of Digitally Phase Modulated Signals on Fading Channels R Haeb, H Meyr IEEE Transactions on Communications 37 (7), 748-754, 1989 | 171 | 1989 |
| 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 | 154 | 2015 |
| Speech processing for digital home assistants: Combining signal processing with deep-learning techniques R Haeb-Umbach, S Watanabe, T Nakatani, M Bacchiani, B Hoffmeister, ... IEEE Signal processing magazine 36 (6), 111-124, 2019 | 132 | 2019 |
| 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 | 122 | 2017 |
| Improvements in beam search for 10000-word continuous-speech recognition R Haeb-Umbach, H Ney IEEE Transactions on Speech and Audio Processing 2 (2), 353-356, 1994 | 108 | 1994 |
| Blind speech separation employing directional statistics in an expectation maximization framework DHT Vu, R Haeb-Umbach 2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010 | 105 | 2010 |
| European speech databases for telephone applications H Hoge, HS Tropf, R Winski, H van den Heuvel, R Haeb-Umbach, ... 1997 IEEE International Conference on Acoustics, Speech, and Signal …, 1997 | 95 | 1997 |
| Improvements in connected digit recognition using linear discriminant analysis and mixture densities R Haeb-Umbach, D Geller, H Ney 1993 IEEE International Conference on Acoustics, Speech, and Signal …, 1993 | 95 | 1993 |
| All-neural online source separation, counting, and diarization for meeting analysis T Von Neumann, K Kinoshita, M Delcroix, S Araki, T Nakatani, ... ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 88 | 2019 |
| Speech enhancement with a GSC-like structure employing eigenvector-based transfer function ratios estimation A Krueger, E Warsitz, R Haeb-Umbach IEEE Transactions on Audio, Speech, and Language Processing 19 (1), 206-219, 2010 | 87 | 2010 |
| 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 | 85 | 2018 |
Lukas DrudeApplied Scientist @ Amazon AlexaVerified email at amazon.com
