| 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 | 442 | 2020 |
| 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 | 160 | 2018 |
| 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 | 155 | 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 | 143 | 2018 |
| 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 | 113 | 2021 |
| 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 | 96 | 2019 |
| 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 | 86 | 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 | 79 | 2019 |
| 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 | 75 | 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 | 68 | 2020 |
| 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 | 57 | 2020 |
| 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 | 49 | 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 | 48 | 2020 |
| 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 | 46 | 2019 |
| 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 | 45 | 2018 |
| TS-SEP: Joint diarization and separation conditioned on estimated speaker embeddings C Boeddeker, AS Subramanian, G Wichern, R Haeb-Umbach, J Le Roux IEEE/ACM Transactions on Audio, Speech, and Language Processing 32, 1185-1197, 2024 | 43 | 2024 |
| 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 | 43 | 2017 |
| 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 | 42 | 2021 |
| MeetEval: A Toolkit for Computation of Word Error Rates for Meeting Transcription Systems T von Neumann, C Boeddeker, M Delcroix, R Haeb-Umbach arXiv preprint arXiv:2307.11394, 2023 | 39 | 2023 |
| Monaural source separation: From anechoic to reverberant environments T Cord-Landwehr, C Boeddeker, T Von Neumann, C Zorilă, R Doddipatla, ... 2022 International Workshop on Acoustic Signal Enhancement (IWAENC), 1-5, 2022 | 39 | 2022 |
Reinhold Haeb-UmbachProfessor of Communications Engineering, University of PaderbornVerified email at nt.uni-paderborn.de
