Lukas Drude
TitleCited byYear
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
1152016
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
692014
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
652015
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
272016
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
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
2014 IEEE International Conference on Acoustics, Speech and Signal …, 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 workshop, 2016
182016
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
162017
Tight Integration of Spatial and Spectral Features for BSS with Deep Clustering Embeddings.
L Drude, R Haeb-Umbach
Interspeech, 2650-2654, 2017
152017
Source counting in speech mixtures by nonparametric Bayesian estimation of an infinite Gaussian mixture model
O Walter, L Drude, R Haeb-Umbach
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
112015
The incredible shrinking neural network: New perspectives on learning representations through the lens of pruning
N Wolfe, A Sharma, L Drude, B Raj
92016
libDirectional
G Kurz, I Gilitschenski, F Pfaff, L Drude
92015
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
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
72017
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
2014 14th International Workshop on Acoustic Signal Enhancement (IWAENC …, 2014
72014
Multi-stage coherence drift based sampling rate synchronization for acoustic beamforming
J Schmalenstroeer, J Heymann, L Drude, C Boeddecker, ...
2017 IEEE 19th International Workshop on Multimedia Signal Processing (MMSP …, 2017
62017
On the computation of complex-valued gradients with application to statistically optimum beamforming
C Böddeker, P Hanebrink, L Drude, J Heymann, R Haeb-Umbach
arXiv preprint arXiv:1701.00392, 2017
62017
Noise-presence-probability-based noise PSD estimation by using DNNs
A Chinaev, J Heymann, L Drude, R Haeb-Umbach
Speech Communication; 12. ITG Symposium, 1-5, 2016
62016
DOA-estimation based on a complex watson kernel method
L Drude, F Jacob, R Haeb-Umbach
2015 23rd European Signal Processing Conference (EUSIPCO), 255-259, 2015
52015
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
42017
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Articles 1–20