Lukas Drude

Nachrichtentechnik (NT) / Heinz Nixdorf Institut


Forschung & Lehre


Aktuelle Publikationen

Unsupervised training of neural mask-based beamforming
L. Drude, J. Heymann, R. Haeb-Umbach, in: INTERSPEECH 2019, Graz, Austria, 2019.
Unsupervised Training of a Deep Clustering Model for Multichannel Blind Source Separation
L. Drude, D. Hasenklever, R. Haeb-Umbach, in: ICASSP 2019, Brighton, UK, 2019.
Joint Optimization of Neural Network-based WPE Dereverberation and Acoustic Model for Robust Online ASR
J. Heymann, L. Drude, R. Haeb-Umbach, K. Kinoshita, T. Nakatani, in: ICASSP 2019, Brighton, UK, 2019.
Directional Statistics and Filtering Using libDirectional
G. Kurz, I. Gilitschenski, F. Pfaff, L. Drude, U.D. Hanebeck, R. Haeb-Umbach, R.Y. Siegwart, in: Journal of Statistical Software 89(4), 2019.
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 (2019).
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