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2020 – today
- 2024
[c32]Sergio Duarte Torres, Arunasish Sen, Aman Rana, Lukas Drude, Alejandro Gomez-Alanis, Andreas Schwarz, Leif Rädel, Volker Leutnant:
Promptformer: Prompted Conformer Transducer for ASR. ICASSP 2024: 11821-11825- [i13]Sergio Duarte Torres, Arunasish Sen, Aman Rana, Lukas Drude, Alejandro Gómez Alanís, Andreas Schwarz, Leif Rädel, Volker Leutnant:
Promptformer: Prompted Conformer Transducer for ASR. CoRR abs/2401.07360 (2024) - 2023
- [c31]Belen Alastruey, Lukas Drude, Jahn Heymann, Simon Wiesler:
Multi-View Frequency-Attention Alternative to CNN Frontends for Automatic Speech Recognition. INTERSPEECH 2023: 4973-4977 - [i12]Belen Alastruey, Lukas Drude, Jahn Heymann, Simon Wiesler:
Multi-View Frequency-Attention Alternative to CNN Frontends for Automatic Speech Recognition. CoRR abs/2306.06954 (2023) - 2022
- [c30]Alejandro Gomez-Alanis, Lukas Drude, Andreas Schwarz, Rupak Vignesh Swaminathan, Simon Wiesler:
Contextual-Utterance Training for Automatic Speech Recognition. IberSPEECH 2022: 26-30 - [i11]Alejandro Gómez Alanís, Lukas Drude, Andreas Schwarz, Rupak Vignesh Swaminathan, Simon Wiesler:
Contextual-Utterance Training for Automatic Speech Recognition. CoRR abs/2210.16238 (2022) - 2021
- [j3]Reinhold Haeb-Umbach
, Jahn Heymann, Lukas Drude, Shinji Watanabe, Marc Delcroix, Tomohiro Nakatani:
Far-Field Automatic Speech Recognition. Proc. IEEE 109(2): 124-148 (2021) - [c29]Lukas Drude, Jahn Heymann, Andreas Schwarz, Jean-Marc Valin:
Multi-Channel Opus Compression for Far-Field Automatic Speech Recognition with a Fixed Bitrate Budget. Interspeech 2021: 1669-1673 - [i10]Lukas Drude, Jahn Heymann, Andreas Schwarz, Jean-Marc Valin:
Multi-channel Opus compression for far-field automatic speech recognition with a fixed bitrate budget. CoRR abs/2106.07994 (2021) - 2020
- [b1]Lukas Drude:
Integration of neural networks and probabilistic spatial models for acoustic blind source separation. University of Paderborn, Germany, 2020 - [c28]Jens Heitkaemper, Darius Jakobeit, Christoph Böddeker, Lukas Drude, Reinhold Haeb-Umbach:
Demystifying TasNet: A Dissecting Approach. ICASSP 2020: 6359-6363 - [c27]Thilo von Neumann, Keisuke Kinoshita, Lukas Drude, Christoph Böddeker, Marc Delcroix, Tomohiro Nakatani, Reinhold Haeb-Umbach:
End-to-End Training of Time Domain Audio Separation and Recognition. ICASSP 2020: 7004-7008 - [c26]Thilo von Neumann, Christoph Böddeker, Lukas Drude, Keisuke Kinoshita, Marc Delcroix, Tomohiro Nakatani, Reinhold Haeb-Umbach:
Multi-Talker ASR for an Unknown Number of Sources: Joint Training of Source Counting, Separation and ASR. INTERSPEECH 2020: 3097-3101 - [i9]Thilo von Neumann, Christoph Böddeker, Lukas Drude, Keisuke Kinoshita, Marc Delcroix, Tomohiro Nakatani, Reinhold Haeb-Umbach:
Multi-talker ASR for an unknown number of sources: Joint training of source counting, separation and ASR. CoRR abs/2006.02786 (2020)
2010 – 2019
- 2019
- [j2]Lukas Drude, Reinhold Haeb-Umbach:
Integration of Neural Networks and Probabilistic Spatial Models for Acoustic Blind Source Separation. IEEE J. Sel. Top. Signal Process. 13(4): 815-826 (2019) - [c25]Janek Ebbers, Lukas Drude, Reinhold Haeb-Umbach, Andreas Brendel, Walter Kellermann:
Weakly Supervised Sound Activity Detection and Event Classification in Acoustic Sensor Networks. CAMSAP 2019: 301-305 - [c24]Lukas Drude, Daniel Hasenklever, Reinhold Haeb-Umbach:
Unsupervised Training of a Deep Clustering Model for Multichannel Blind Source Separation. ICASSP 2019: 695-699 - [c23]Jahn Heymann, Lukas Drude, Reinhold Haeb-Umbach, Keisuke Kinoshita, Tomohiro Nakatani:
Joint Optimization of Neural Network-based WPE Dereverberation and Acoustic Model for Robust Online ASR. ICASSP 2019: 6655-6659 - [c22]Lukas Drude, Jahn Heymann, Reinhold Haeb-Umbach:
Unsupervised Training of Neural Mask-Based Beamforming. INTERSPEECH 2019: 1253-1257 - [i8]Lukas Drude, Daniel Hasenklever, Reinhold Haeb-Umbach:
Unsupervised training of a deep clustering model for multichannel blind source separation. CoRR abs/1904.01340 (2019) - [i7]Lukas Drude, Jahn Heymann, Reinhold Haeb-Umbach:
Unsupervised training of neural mask-based beamforming. CoRR abs/1904.01578 (2019) - [i6]Lukas Drude, Jens Heitkaemper, Christoph Böddeker, Reinhold Haeb-Umbach:
SMS-WSJ: Database, performance measures, and baseline recipe for multi-channel source separation and recognition. CoRR abs/1910.13934 (2019) - [i5]Jens Heitkaemper, Darius Jakobeit, Christoph Böddeker, Lukas Drude, Reinhold Haeb-Umbach:
Demystifying TasNet: A Dissecting Approach. CoRR abs/1911.08895 (2019) - [i4]Thilo von Neumann, Keisuke Kinoshita, Lukas Drude, Christoph Böddeker, Marc Delcroix, Tomohiro Nakatani, Reinhold Haeb-Umbach:
End-to-end training of time domain audio separation and recognition. CoRR abs/1912.08462 (2019) - 2018
- [c21]Lukas Drude, Jahn Heymann, Christoph Böddeker, Reinhold Haeb-Umbach:
NARA-WPE: A Python package for weighted prediction error dereverberation in Numpy and Tensorflow for online and offline processing. ITG Symposium on Speech Communication 2018: 1-5 - [c20]Lukas Drude, Thilo von Neumann, Reinhold Haeb-Umbach:
Deep Attractor Networks for Speaker Re-Identification and Blind Source Separation. ICASSP 2018: 11-15 - [c19]Lukas Drude, Takuya Higuchi, Keisuke Kinoshita, Tomohiro Nakatani, Reinhold Haeb-Umbach:
Dual Frequency- and Block-Permutation Alignment for Deep Learning Based Block-Online Blind Source Separation. ICASSP 2018: 691-695 - [c18]Keisuke Kinoshita, Lukas Drude, Marc Delcroix, Tomohiro Nakatani:
Listening to Each Speaker One by One with Recurrent Selective Hearing Networks. ICASSP 2018: 5064-5068 - [c17]Lukas Drude, Christoph Böddeker, Jahn Heymann, Reinhold Haeb-Umbach, Keisuke Kinoshita, Marc Delcroix, Tomohiro Nakatani:
Integrating Neural Network Based Beamforming and Weighted Prediction Error Dereverberation. INTERSPEECH 2018: 3043-3047 - [c16]Jahn Heymann, Lukas Drude, Reinhold Haeb-Umbach, Keisuke Kinoshita, Tomohiro Nakatani:
Frame-Online DNN-WPE Dereverberation. IWAENC 2018: 466-470 - 2017
- [j1]Jahn Heymann, Lukas Drude, Reinhold Haeb-Umbach:
A generic neural acoustic beamforming architecture for robust multi-channel speech processing. Comput. Speech Lang. 46: 374-385 (2017) - [c15]Christoph Böddeker, Patrick Hanebrink, Lukas Drude, Jahn Heymann, Reinhold Haeb-Umbach:
Optimizing neural-network supported acoustic beamforming by algorithmic differentiation. ICASSP 2017: 171-175 - [c14]Jahn Heymann, Lukas Drude, Christoph Böddeker, Patrick Hanebrink, Reinhold Haeb-Umbach:
Beamnet: End-to-end training of a beamformer-supported multi-channel ASR system. ICASSP 2017: 5325-5329 - [c13]Janek Ebbers, Jahn Heymann, Lukas Drude, Thomas Glarner, Reinhold Haeb-Umbach, Bhiksha Raj:
Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery. INTERSPEECH 2017: 488-492 - [c12]Lukas Drude, Reinhold Haeb-Umbach:
Tight Integration of Spatial and Spectral Features for BSS with Deep Clustering Embeddings. INTERSPEECH 2017: 2650-2654 - [c11]Joerg Schmalenstroeer, Jahn Heymann, Lukas Drude, Christoph Böddeker, Reinhold Haeb-Umbach:
Multi-stage coherence drift based sampling rate synchronization for acoustic beamforming. MMSP 2017: 1-6 - [i3]Christoph Böddeker, Patrick Hanebrink, Lukas Drude, Jahn Heymann, Reinhold Haeb-Umbach:
On the Computation of Complex-valued Gradients with Application to Statistically Optimum Beamforming. CoRR abs/1701.00392 (2017) - [i2]Nikolas Wolfe, Aditya Sharma, Lukas Drude, Bhiksha Raj:
The Incredible Shrinking Neural Network: New Perspectives on Learning Representations Through The Lens of Pruning. CoRR abs/1701.04465 (2017) - [i1]Gerhard Kurz, Igor Gilitschenski, Florian Pfaff, Lukas Drude, Uwe D. Hanebeck, Reinhold Haeb-Umbach, Roland Yves Siegwart:
Directional Statistics and Filtering Using libDirectional. CoRR abs/1712.09718 (2017) - 2016
- [c10]Aleksej Chinaev, Jahn Heymann, Lukas Drude, Reinhold Haeb-Umbach:
Noise-Presence-Probability-Based Noise PSD Estimation by Using DNNs. ITG Symposium on Speech Communication 2016: 1-5 - [c9]Thomas Glarner, Mohammad Mahdi Momenzadeh, Lukas Drude, Reinhold Haeb-Umbach:
Factor Graph Decoding for Speech Presence Probability Estimation. ITG Symposium on Speech Communication 2016: 1-5 - [c8]Lukas Drude, Christoph Böddeker, Reinhold Haeb-Umbach:
Blind speech separation based on complex spherical k-mode clustering. ICASSP 2016: 141-145 - [c7]Jahn Heymann, Lukas Drude, Reinhold Haeb-Umbach:
Neural network based spectral mask estimation for acoustic beamforming. ICASSP 2016: 196-200 - [c6]Lukas Drude, Bhiksha Raj, Reinhold Haeb-Umbach:
On the Appropriateness of Complex-Valued Neural Networks for Speech Enhancement. INTERSPEECH 2016: 1745-1749 - 2015
- [c5]Jahn Heymann, Lukas Drude, Aleksej Chinaev, Reinhold Haeb-Umbach:
BLSTM supported GEV beamformer front-end for the 3RD CHiME challenge. ASRU 2015: 444-451 - [c4]Lukas Drude, Florian Jacob, Reinhold Haeb-Umbach:
DOA-estimation based on a complex Watson kernel method. EUSIPCO 2015: 255-259 - [c3]Oliver Walter, Lukas Drude, Reinhold Haeb-Umbach:
Source counting in speech mixtures by nonparametric Bayesian estimation of an infinite Gaussian mixture model. ICASSP 2015: 459-463 - 2014
- [c2]Lukas Drude, Aleksej Chinaev, Dang Hai Tran Vu, Reinhold Haeb-Umbach:
Source counting in speech mixtures using a variational EM approach for complex WATSON mixture models. ICASSP 2014: 6834-6838 - [c1]Lukas Drude, Aleksej Chinaev, Dang Hai Tran Vu, Reinhold Haeb-Umbach:
Towards online source counting in speech mixtures applying a variational EM for complex Watson mixture models. IWAENC 2014: 213-217
Coauthor Index
aka: Reinhold Haeb-Umbach
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