| CHiME-6 challenge: Tackling multispeaker speech recognition for unsegmented recordings S Watanabe, M Mandel, J Barker, E Vincent, A Arora, X Chang, ... arXiv preprint arXiv:2004.09249, 2020 | 209 | 2020 |
| 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 | 121 | 2017 |
| NARA-WPE: A Python package for weighted prediction error dereverberation in Numpy and Tensorflow for online and offline processing L Drude, J Heymann, C Boeddeker, R Haeb-Umbach Speech Communication; 13th ITG-Symposium, 1-5, 2018 | 84 | 2018 |
| Front-end processing for the CHiME-5 dinner party scenario C Boeddeker, J Heitkaemper, J Schmalenstroeer, L Drude, J Heymann, ... CHiME5 Workshop, Hyderabad, India, 2018 | 81 | 2018 |
| Exploring Practical Aspects of Neural Mask-Based Beamforming for Far-Field Speech Recognition C Boeddeker, H Erdogan, T Yoshioka, R Haeb-Umbach 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 65 | 2018 |
| Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn University Joint Investigation for Dinner Party ASR N Kanda, C Boeddeker, J Heitkaemper, Y Fujita, S Horiguchi, ... arXiv preprint arXiv:1905.12230, 2019 | 57 | 2019 |
| SMS-WSJ: Database, performance measures, and baseline recipe for multi-channel source separation and recognition L Drude, J Heitkaemper, C Boeddeker, R Haeb-Umbach arXiv preprint arXiv:1910.13934, 2019 | 56 | 2019 |
| ESPnet-SE: end-to-end speech enhancement and separation toolkit designed for ASR integration C Li, J Shi, W Zhang, AS Subramanian, X Chang, N Kamo, M Hira, ... 2021 IEEE Spoken Language Technology Workshop (SLT), 785-792, 2021 | 49 | 2021 |
| Demystifying TasNet: A Dissecting Approach J Heitkaemper, D Jakobeit, C Boeddeker, L Drude, R Haeb-Umbach ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 48 | 2020 |
| Jointly optimal denoising, dereverberation, and source separation T Nakatani, C Boeddeker, K Kinoshita, R Ikeshita, M Delcroix, ... IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 2267-2282, 2020 | 40 | 2020 |
| Integrating Neural Network Based Beamforming and Weighted Prediction Error Dereverberation. L Drude, C Boeddeker, J Heymann, R Haeb-Umbach, K Kinoshita, ... Interspeech, 3043-3047, 2018 | 37 | 2018 |
| An investigation into the effectiveness of enhancement in asr training and test for chime-5 dinner party transcription C Zorilă, C Boeddeker, R Doddipatla, R Haeb-Umbach 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 47-53, 2019 | 36 | 2019 |
| Multi-talker ASR for an unknown number of sources: Joint training of source counting, separation and ASR T von Neumann, C Boeddeker, L Drude, K Kinoshita, M Delcroix, ... arXiv preprint arXiv:2006.02786, 2020 | 33 | 2020 |
| Jointly optimal dereverberation and beamforming C Boeddeker, T Nakatani, K Kinoshita, R Haeb-Umbach ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 33 | 2020 |
| 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 | 33 | 2017 |
| End-to-end training of time domain audio separation and recognition T von Neumann, K Kinoshita, L Drude, C Boeddeker, M Delcroix, ... ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 30 | 2020 |
| End-to-end dereverberation, beamforming, and speech recognition with improved numerical stability and advanced frontend W Zhang, C Boeddeker, S Watanabe, T Nakatani, M Delcroix, K Kinoshita, ... ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 27 | 2021 |
| 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 | 25 | 2017 |
| 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 | 22 | 2017 |
| Dual-Path RNN for Long Recording Speech Separation C Li, Y Luo, C Han, J Li, T Yoshioka, T Zhou, M Delcroix, K Kinoshita, ... 2021 IEEE Spoken Language Technology Workshop (SLT), 865-872, 2021 | 18 | 2021 |
Reinhold Haeb-UmbachProfessor of Communications Engineering, University of PaderbornVerified email at nt.uni-paderborn.de
