Reinhold Haeb-Umbach
Reinhold Haeb-Umbach
Professor of Communications Engineering, University of Paderborn
Verified email at - Homepage
Cited by
Cited by
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
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
Linear discriminant analysis for improved large vocabulary continuous speech recognition.
R Haeb-Umbach, H Ney
icassp 92, 13-16, 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
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
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
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
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
Robust automatic speech recognition: a bridge to practical applications
J Li, L Deng, R Haeb-Umbach, Y Gong
Academic Press, 2015
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
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
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
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
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
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
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
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
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
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
Acoustic microphone geometry calibration: An overview and experimental evaluation of state-of-the-art algorithms
A Plinge, F Jacob, R Haeb-Umbach, GA Fink
IEEE Signal Processing Magazine 33 (4), 14-29, 2016
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