Please note that LibreCat no longer supports Internet Explorer versions 8 or 9 (or earlier).
We recommend upgrading to the latest Internet Explorer, Google Chrome, or Firefox.
318 Publications
2020 | Conference Paper | LibreCat-ID: 18651 | 
Gburrek, Tobias, Joerg Schmalenstroeer, Andreas Brendel, Walter Kellermann, and Reinhold Haeb-Umbach. “Deep Neural Network Based Distance Estimation for Geometry Calibration in Acoustic Sensor Network.” In European Signal Processing Conference (EUSIPCO), 2020.
LibreCat
| Files available
2020 | Conference Paper | LibreCat-ID: 20766 |
Kinoshita, Keisuke, Thilo von Neumann, Marc Delcroix, Tomohiro Nakatani, and Reinhold Haeb-Umbach. “Multi-Path RNN for Hierarchical Modeling of Long Sequential Data and Its Application to Speaker Stream Separation.” In Proc. Interspeech 2020, 2652–56, 2020. https://doi.org/10.21437/Interspeech.2020-2388.
LibreCat
| Files available
| DOI
2020 | Conference Paper | LibreCat-ID: 20753 |
Ebbers, Janek, and Reinhold Haeb-Umbach. “Forward-Backward Convolutional Recurrent Neural Networks and Tag-Conditioned Convolutional Neural Networks for Weakly Labeled Semi-Supervised Sound Event Detection.” In Proceedings of the Detection and Classification of Acoustic Scenes and Events 2020 Workshop (DCASE2020), 2020.
LibreCat
| Files available
2019 | Journal Article | LibreCat-ID: 17762
Haeb-Umbach, Reinhold. “Lektionen Für Alexa \& Co?!” Forschung 44, no. 1 (2019): 12–15. https://doi.org/10.1002/fors.201970104.
LibreCat
| DOI
2019 | Journal Article | LibreCat-ID: 19446 |
Drude, Lukas, Jens Heitkaemper, Christoph Boeddeker, and Reinhold Haeb-Umbach. “SMS-WSJ: Database, Performance Measures, and Baseline Recipe for Multi-Channel Source Separation and Recognition.” ArXiv E-Prints, 2019.
LibreCat
| Files available
2019 | Conference Paper | LibreCat-ID: 11965 |
Drude, Lukas, Jahn Heymann, and Reinhold Haeb-Umbach. “Unsupervised Training of Neural Mask-Based Beamforming.” In INTERSPEECH 2019, Graz, Austria, 2019.
LibreCat
| Files available
2019 | Conference Paper | LibreCat-ID: 12874 |
Drude, Lukas, Daniel Hasenklever, and Reinhold Haeb-Umbach. “Unsupervised Training of a Deep Clustering Model for Multichannel Blind Source Separation.” In ICASSP 2019, Brighton, UK, 2019.
LibreCat
| Files available
2019 | Conference Paper | LibreCat-ID: 12875 |
Heymann, Jahn, Lukas Drude, Reinhold Haeb-Umbach, Keisuke Kinoshita, and Tomohiro Nakatani. “Joint Optimization of Neural Network-Based WPE Dereverberation and Acoustic Model for Robust Online ASR.” In ICASSP 2019, Brighton, UK, 2019.
LibreCat
| Files available
2019 | Conference Paper | LibreCat-ID: 12876 |
Kurz, Gerhard, Igor Gilitschenski, Florian Pfaff, Lukas Drude, Uwe D. Hanebeck, Reinhold Haeb-Umbach, and Roland Y. Siegwart. “Directional Statistics and Filtering Using LibDirectional.” In Journal of Statistical Software 89(4), 2019.
LibreCat
| Files available
2019 | Journal Article | LibreCat-ID: 12890 |
Drude, Lukas, and Reinhold Haeb-Umbach. “Integration of Neural Networks and Probabilistic Spatial Models for Acoustic Blind Source Separation.” IEEE Journal of Selected Topics in Signal Processing, 2019. https://doi.org/10.1109/JSTSP.2019.2912565.
LibreCat
| Files available
| DOI
2019 | Conference Paper | LibreCat-ID: 15812 |
Heymann, Jahn, and Bo Li Khe Chai Sim. “Improving CTC Using Stimulated Learning for Sequence Modeling.” In ICASSP 2019, Brighton, UK, 2019.
LibreCat
| Files available
2019 | Conference Paper | LibreCat-ID: 15816 |
Zorila, Catalin, Christoph Boeddeker, Rama Doddipatla, and Reinhold Haeb-Umbach. “An Investigation Into the Effectiveness of Enhancement in ASR Training and Test for Chime-5 Dinner Party Transcription.” In ASRU 2019, Sentosa, Singapore, 2019.
LibreCat
| Files available
2019 | Conference Paper | LibreCat-ID: 14822 |
Heitkaemper, Jens, Thomas Feher, Michael Freitag, and Reinhold Haeb-Umbach. “A Study on Online Source Extraction in the Presence of Changing Speaker Positions.” In International Conference on Statistical Language and Speech Processing 2019, Ljubljana, Slovenia, 2019.
LibreCat
| Files available
2019 | Conference Paper | LibreCat-ID: 14824 |
Martin-Donas, Juan M., Jens Heitkaemper, Reinhold Haeb-Umbach, Angel M. Gomez, and Antonio M. Peinado. “Multi-Channel Block-Online Source Extraction Based on Utterance Adaptation.” In INTERSPEECH 2019, Graz, Austria, 2019.
LibreCat
| Files available
2019 | Conference Paper | LibreCat-ID: 14826 |
Kanda, Naoyuki, Christoph Boeddeker, Jens Heitkaemper, Yusuke Fujita, Shota Horiguchi, and Reinhold Haeb-Umbach. “Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn University Joint Investigation for Dinner Party ASR.” In INTERSPEECH 2019, Graz, Austria, 2019.
LibreCat
| Files available
2019 | Conference Paper | LibreCat-ID: 13271 |
Neumann, Thilo von, Keisuke Kinoshita, Marc Delcroix, Shoko Araki, Tomohiro Nakatani, and Reinhold Haeb-Umbach. “All-Neural Online Source Separation, Counting, and Diarization for Meeting Analysis.” In ICASSP 2019, Brighton, UK, 2019.
LibreCat
| Files available
2019 | Journal Article | LibreCat-ID: 15814 |
Haeb-Umbach, Reinhold, Shinji Watanabe, Tomohiro Nakatani, Michiel Bacchiani, Bjoern Hoffmeister, Michael L. Seltzer, Heiga Zen, and Mehrez Souden. “Speech Processing for Digital Home Assistance: Combining Signal Processing With Deep-Learning Techniques.” IEEE Signal Processing Magazine 36, no. 6 (2019): 111–24. https://doi.org/10.1109/MSP.2019.2918706.
LibreCat
| Files available
| DOI
2019 | Journal Article | LibreCat-ID: 19450 |
Haeb-Umbach, Reinhold. “Lektionen Für Alexa & Co?!” DFG Forschung 1/2019, 2019, 12–15. https://doi.org/10.1002/fors.201970104.
LibreCat
| Files available
| DOI
2019 | Conference Paper | LibreCat-ID: 15237 |
Gburrek, Tobias, Thomas Glarner, Janek Ebbers, Reinhold Haeb-Umbach, and Petra Wagner. “Unsupervised Learning of a Disentangled Speech Representation for Voice Conversion.” In Proc. 10th ISCA Speech Synthesis Workshop, 81–86, 2019. https://doi.org/10.21437/SSW.2019-15.
LibreCat
| Files available
| DOI
| Download (ext.)
2019 | Conference Paper | LibreCat-ID: 15794 |
Ebbers, Janek, and Reinhold Haeb-Umbach. “Convolutional Recurrent Neural Network and Data Augmentation for Audio Tagging with Noisy Labels and Minimal Supervision.” In DCASE2019 Workshop, New York, USA, 2019.
LibreCat
| Files available