Source counting in speech mixtures using a variational EM approach for complex WATSON mixture models. - Lukas Drude; Aleksej Chinaev; Dang Hai Tran Vu; Reinhold Haeb-Umbach (ICASSP, 2014)

Towards online source counting in speech mixtures applying a variational EM for complex Watson mixture models. - Lukas Drude; Aleksej Chinaev; Dang Hai Tran Vu; Reinhold Haeb-Umbach (IWAENC, 2014)

BLSTM supported GEV beamformer front-end for the 3RD CHiME challenge. - Jahn Heymann; Lukas Drude; Aleksej Chinaev; Reinhold Haeb-Umbach (ASRU, 2015)

DOA-estimation based on a complex Watson kernel method. - Lukas Drude; Florian Jacob; Reinhold Haeb-Umbach (EUSIPCO, 2015)

Source counting in speech mixtures by nonparametric Bayesian estimation of an infinite Gaussian mixture model. - Oliver Walter; Lukas Drude; Reinhold Haeb-Umbach (ICASSP, 2015)

Noise-Presence-Probability-Based Noise PSD Estimation by Using DNNs. - Aleksej Chinaev; Jahn Heymann; Lukas Drude; Reinhold Haeb-Umbach (ITG Symposium on Speech Communication, 2016)

Factor Graph Decoding for Speech Presence Probability Estimation. - Thomas Glarner; Mohammad Mahdi Momenzadeh; Lukas Drude; Reinhold Haeb-Umbach (ITG Symposium on Speech Communication, 2016)

Blind speech separation based on complex spherical k-mode clustering. - Lukas Drude; Christoph Böddeker; Reinhold Haeb-Umbach (ICASSP, 2016)

Neural network based spectral mask estimation for acoustic beamforming. - Jahn Heymann; Lukas Drude; Reinhold Haeb-Umbach (ICASSP, 2016)

On the Appropriateness of Complex-Valued Neural Networks for Speech Enhancement. - Lukas Drude; Bhiksha Raj; Reinhold Haeb-Umbach (INTERSPEECH, 2016)

Optimizing neural-network supported acoustic beamforming by algorithmic differentiation. - Christoph Böddeker; Patrick Hanebrink; Lukas Drude; Jahn Heymann; Reinhold Haeb-Umbach (ICASSP, 2017)

Beamnet: End-to-end training of a beamformer-supported multi-channel ASR system. - Jahn Heymann; Lukas Drude; Christoph Böddeker; Patrick Hanebrink; Reinhold Haeb-Umbach (ICASSP, 2017)

Tight Integration of Spatial and Spectral Features for BSS with Deep Clustering Embeddings. - Lukas Drude; Reinhold Haeb-Umbach (INTERSPEECH, 2017)

Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery. - Janek Ebbers; Jahn Heymann; Lukas Drude; Thomas Glarner; Reinhold Haeb-Umbach; Bhiksha Raj (INTERSPEECH, 2017)

Multi-stage coherence drift based sampling rate synchronization for acoustic beamforming. - Joerg Schmalenstroeer; Jahn Heymann; Lukas Drude; Christoph Böddeker; Reinhold Haeb-Umbach (MMSP, 2017)

On the Computation of Complex-valued Gradients with Application to Statistically Optimum Beamforming. - Christoph Böddeker; Patrick Hanebrink; Lukas Drude; Jahn Heymann; Reinhold Haeb-Umbach (CoRR, 2017)

The Incredible Shrinking Neural Network: New Perspectives on Learning Representations Through The Lens of Pruning. - Nikolas Wolfe; Aditya Sharma; Lukas Drude; Bhiksha Raj (CoRR, 2017)

Directional Statistics and Filtering Using libDirectional. - Gerhard Kurz; Igor Gilitschenski; Florian Pfaff; Lukas Drude; Uwe D. Hanebeck; Reinhold Haeb-Umbach; Roland Yves Siegwart (CoRR, 2017)

A generic neural acoustic beamforming architecture for robust multi-channel speech processing. - Jahn Heymann; Lukas Drude; Reinhold Haeb-Umbach (Comput. Speech Lang., 2017)

NARA-WPE: A Python package for weighted prediction error dereverberation in Numpy and Tensorflow for online and offline processing. - Lukas Drude; Jahn Heymann; Christoph Böddeker; Reinhold Haeb-Umbach (ITG Symposium on Speech Communication, 2018)

Dual Frequency- and Block-Permutation Alignment for Deep Learning Based Block-Online Blind Source Separation. - Lukas Drude; Takuya Higuchi; Keisuke Kinoshita; Tomohiro Nakatani; Reinhold Haeb-Umbach (ICASSP, 2018)

Deep Attractor Networks for Speaker Re-Identification and Blind Source Separation. - Lukas Drude; Thilo von Neumann; Reinhold Haeb-Umbach (ICASSP, 2018)

Listening to Each Speaker One by One with Recurrent Selective Hearing Networks. - Keisuke Kinoshita; Lukas Drude; Marc Delcroix; Tomohiro Nakatani (ICASSP, 2018)

Integrating Neural Network Based Beamforming and Weighted Prediction Error Dereverberation. - Lukas Drude; Christoph Böddeker; Jahn Heymann; Reinhold Haeb-Umbach; Keisuke Kinoshita; Marc Delcroix; Tomohiro Nakatani (INTERSPEECH, 2018)

Frame-Online DNN-WPE Dereverberation. - Jahn Heymann; Lukas Drude; Reinhold Haeb-Umbach; Keisuke Kinoshita; Tomohiro Nakatani (IWAENC, 2018)

Weakly Supervised Sound Activity Detection and Event Classification in Acoustic Sensor Networks. - Janek Ebbers; Lukas Drude; Reinhold Haeb-Umbach; Andreas Brendel; Walter Kellermann (CAMSAP, 2019)

Unsupervised Training of a Deep Clustering Model for Multichannel Blind Source Separation. - Lukas Drude; Daniel Hasenklever; Reinhold Haeb-Umbach (ICASSP, 2019)

Joint Optimization of Neural Network-based WPE Dereverberation and Acoustic Model for Robust Online ASR. - Jahn Heymann; Lukas Drude; Reinhold Haeb-Umbach; Keisuke Kinoshita; Tomohiro Nakatani (ICASSP, 2019)

Unsupervised Training of Neural Mask-Based Beamforming. - Lukas Drude; Jahn Heymann; Reinhold Haeb-Umbach (INTERSPEECH, 2019)

SMS-WSJ: Database, performance measures, and baseline recipe for multi-channel source separation and recognition. - Lukas Drude; Jens Heitkaemper; Christoph Böddeker; Reinhold Haeb-Umbach (CoRR, 2019)

Integration of Neural Networks and Probabilistic Spatial Models for Acoustic Blind Source Separation. - Lukas Drude; Reinhold Haeb-Umbach (IEEE J. Sel. Top. Signal Process., 2019)

Demystifying TasNet: A Dissecting Approach. - Jens Heitkaemper; Darius Jakobeit; Christoph Böddeker; Lukas Drude; Reinhold Haeb-Umbach (ICASSP, 2020)

End-to-End Training of Time Domain Audio Separation and Recognition. - Thilo von Neumann; Keisuke Kinoshita; Lukas Drude; Christoph Böddeker; Marc Delcroix; Tomohiro Nakatani; Reinhold Haeb-Umbach (ICASSP, 2020)

Multi-Talker ASR for an Unknown Number of Sources: Joint Training of Source Counting, Separation and ASR. - Thilo von Neumann; Christoph Böddeker; Lukas Drude; Keisuke Kinoshita; Marc Delcroix; Tomohiro Nakatani; Reinhold Haeb-Umbach (INTERSPEECH, 2020)

Integration of neural networks and probabilistic spatial models for acoustic blind source separation. - Lukas Drude (2020)

Multi-Channel Opus Compression for Far-Field Automatic Speech Recognition with a Fixed Bitrate Budget. - Lukas Drude; Jahn Heymann; Andreas Schwarz; Jean-Marc Valin (Interspeech, 2021)

Far-Field Automatic Speech Recognition. - Reinhold Haeb-Umbach; Jahn Heymann; Lukas Drude; Shinji Watanabe 001; Marc Delcroix; Tomohiro Nakatani (Proc. IEEE, 2021)

Contextual-Utterance Training for Automatic Speech Recognition. - Alejandro Gómez Alanís; Lukas Drude; Andreas Schwarz; Rupak Vignesh Swaminathan; Simon Wiesler (IberSPEECH, 2022)

Multi-View Frequency-Attention Alternative to CNN Frontends for Automatic Speech Recognition. - Belen Alastruey; Lukas Drude; Jahn Heymann; Simon Wiesler (INTERSPEECH, 2023)

Promptformer: Prompted Conformer Transducer for ASR. - Sergio Duarte Torres; Arunasish Sen; Aman Rana; Lukas Drude; Alejandro Gómez Alanís; Andreas Schwarz; Leif Rädel; Volker Leutnant (ICASSP, 2024)