Lukas Drude
TitleCited byYear
Neural network based spectral mask estimation for acoustic beamforming
J Heymann, L Drude, R Haeb-Umbach
Acoustics, Speech and Signal Processing (ICASSP), 2016 IEEE International …, 2016
1092016
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
682014
BLSTM supported GEV beamformer front-end for the 3rd CHiME challenge
J Heymann, L Drude, A Chinaev, R Haeb-Umbach
Automatic Speech Recognition and Understanding (ASRU), 2015 IEEE Workshop on …, 2015
622015
Wide residual BLSTM network with discriminative speaker adaptation for robust speech recognition
LD Jahn Heymann, R Haeb-Umbach
Proceedings of the 4th International Workshop on Speech Processing in …, 2016
252016
Beamnet: End-to-end training of a beamformer-supported multi-channel asr system
J Heymann, L Drude, C Boeddeker, P Hanebrink, R Haeb-Umbach
Acoustics, Speech and Signal Processing (ICASSP), 2017 IEEE International …, 2017
232017
Source counting in speech mixtures using a variational EM approach for complex Watson mixture models
L Drude, A Chinaev, DHT Vu, R Haeb-Umbach
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International …, 2014
222014
The RWTH/UPB/FORTH system combination for the 4th CHiME challenge evaluation
T Menne, J Heymann, A Alexandridis, K Irie, A Zeyer, M Kitza, P Golik, ...
CHiME 4, 39-44, 2016
172016
Tight integration of spatial and spectral features for BSS with deep clustering embeddings
L Drude, R Haeb-Umbach
Proc. Interspeech, 2650-2654, 2017
142017
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
132017
Source counting in speech mixtures by nonparametric Bayesian estimation of an infinite Gaussian mixture model
O Walter, L Drude, R Haeb-Umbach
Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International …, 2015
102015
The Incredible Shrinking Neural Network: New Perspectives on Learning Representations Through The Lens of Pruning
N Wolfe, A Sharma, L Drude, B Raj
82016
On the Appropriateness of Complex-Valued Neural Networks for Speech Enhancement.
L Drude, B Raj, R Haeb-Umbach
INTERSPEECH, 1745-1749, 2016
82016
Optimizing neural-network supported acoustic beamforming by algorithmic differentiation
C Boeddeker, P Hanebrink, L Drude, J Heymann, R Haeb-Umbach
Acoustics, Speech and Signal Processing (ICASSP), 2017 IEEE International …, 2017
72017
libDirectional
G Kurz, I Gilitschenski, F Pfaff, L Drude
72015
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
62017
Towards online source counting in speech mixtures applying a variational EM for complex Watson mixture models.
L Drude, A Chinaev, DHT Vu, R Haeb-Umbach
IWAENC, 213-217, 2014
62014
Multi-stage coherence drift based sampling rate synchronization for acoustic beamforming
J Schmalenstroeer, J Heymann, L Drude, C Boeddecker, ...
Multimedia Signal Processing (MMSP), 2017 IEEE 19th International Workshop …, 2017
52017
Noise-Presence-Probability-Based Noise PSD Estimation by Using DNNs
A Chinaev, J Heymann, L Drude, R Haeb-Umbach
Speech Communication; 12. ITG Symposium; Proceedings of, 1-5, 2016
52016
DOA-estimation based on a complex watson kernel method
L Drude, F Jacob, R Haeb-Umbach
Signal Processing Conference (EUSIPCO), 2015 23rd European, 255-259, 2015
52015
Blind speech separation based on complex spherical k-mode clustering
L Drude, C Boeddeker, R Haeb-Umbach
Acoustics, Speech and Signal Processing (ICASSP), 2016 IEEE International …, 2016
42016
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Articles 1–20