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 | 
T. Gburrek, J. Schmalenstroeer, A. Brendel, W. Kellermann, and R. Haeb-Umbach, “Deep Neural Network based Distance Estimation for Geometry Calibration in Acoustic Sensor Network,” 2020.
LibreCat
| Files available
2020 | Conference Paper | LibreCat-ID: 20766 |
K. Kinoshita, T. von Neumann, M. Delcroix, T. Nakatani, and R. Haeb-Umbach, “Multi-Path RNN for Hierarchical Modeling of Long Sequential Data and its Application to Speaker Stream Separation,” in Proc. Interspeech 2020, 2020, pp. 2652–2656, doi: 10.21437/Interspeech.2020-2388.
LibreCat
| Files available
| DOI
2020 | Conference Paper | LibreCat-ID: 20753 |
J. Ebbers and R. Haeb-Umbach, “Forward-Backward Convolutional Recurrent Neural Networks and Tag-Conditioned Convolutional Neural Networks for Weakly Labeled Semi-Supervised Sound Event Detection,” 2020.
LibreCat
| Files available
2019 | Journal Article | LibreCat-ID: 19446 |
L. Drude, J. Heitkaemper, C. Boeddeker, and R. 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 |
L. Drude, J. Heymann, and R. Haeb-Umbach, “Unsupervised training of neural mask-based beamforming,” in INTERSPEECH 2019, Graz, Austria, 2019.
LibreCat
| Files available
2019 | Conference Paper | LibreCat-ID: 12874 |
L. Drude, D. Hasenklever, and R. 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 |
J. Heymann, L. Drude, R. Haeb-Umbach, K. Kinoshita, and T. 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 |
G. Kurz et al., “Directional Statistics and Filtering Using libDirectional,” in Journal of Statistical Software 89(4), 2019.
LibreCat
| Files available
2019 | Journal Article | LibreCat-ID: 12890 |
L. Drude and R. Haeb-Umbach, “Integration of Neural Networks and Probabilistic Spatial Models for Acoustic Blind Source Separation,” IEEE Journal of Selected Topics in Signal Processing, 2019.
LibreCat
| Files available
| DOI
2019 | Conference Paper | LibreCat-ID: 15812 |
J. Heymann and B. L. 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 |
C. Zorila, C. Boeddeker, R. Doddipatla, and R. 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 |
J. Heitkaemper, T. Feher, M. Freitag, and R. 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 |
J. M. Martin-Donas, J. Heitkaemper, R. Haeb-Umbach, A. M. Gomez, and A. 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 |
N. Kanda, C. Boeddeker, J. Heitkaemper, Y. Fujita, S. Horiguchi, and R. 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 |
T. von Neumann, K. Kinoshita, M. Delcroix, S. Araki, T. Nakatani, and R. 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 |
R. Haeb-Umbach et al., “Speech Processing for Digital Home Assistance: Combining Signal Processing With Deep-Learning Techniques,” IEEE Signal Processing Magazine, vol. 36, no. 6, pp. 111–124, 2019, doi: 10.1109/MSP.2019.2918706.
LibreCat
| Files available
| DOI
2019 | Journal Article | LibreCat-ID: 19450 |
R. Haeb-Umbach, “Lektionen für Alexa & Co?!,” DFG forschung 1/2019, pp. 12–15, 2019, doi: 10.1002/fors.201970104.
LibreCat
| Files available
| DOI
2019 | Conference Paper | LibreCat-ID: 15237 |
T. Gburrek, T. Glarner, J. Ebbers, R. Haeb-Umbach, and P. Wagner, “Unsupervised Learning of a Disentangled Speech Representation for Voice Conversion,” in Proc. 10th ISCA Speech Synthesis Workshop, Vienna, 2019, pp. 81–86, doi: 10.21437/SSW.2019-15.
LibreCat
| Files available
| DOI
| Download (ext.)
2019 | Conference Paper | LibreCat-ID: 15794 |
J. Ebbers and R. Haeb-Umbach, “Convolutional Recurrent Neural Network and Data Augmentation for Audio Tagging with Noisy Labels and Minimal Supervision,” 2019.
LibreCat
| Files available