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318 Publications
2020 | Conference Paper | LibreCat-ID: 18651 | 
Gburrek, Tobias, et al. “Deep Neural Network Based Distance Estimation for Geometry Calibration in Acoustic Sensor Network.” European Signal Processing Conference (EUSIPCO), 2020.
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2020 | Conference Paper | LibreCat-ID: 20766 |
Kinoshita, Keisuke, et al. “Multi-Path RNN for Hierarchical Modeling of Long Sequential Data and Its Application to Speaker Stream Separation.” Proc. Interspeech 2020, 2020, pp. 2652–56, doi:10.21437/Interspeech.2020-2388.
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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.” Proceedings of the Detection and Classification of Acoustic Scenes and Events 2020 Workshop (DCASE2020), 2020.
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2019 | Journal Article | LibreCat-ID: 17762
Haeb-Umbach, Reinhold. “Lektionen Für Alexa \& Co?!” Forschung, vol. 44, no. 1, 2019, pp. 12–15, doi:10.1002/fors.201970104.
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2019 | Journal Article | LibreCat-ID: 19446 |
Drude, Lukas, et al. “SMS-WSJ: Database, Performance Measures, and Baseline Recipe for Multi-Channel Source Separation and Recognition.” ArXiv E-Prints, 2019.
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2019 | Conference Paper | LibreCat-ID: 11965 |
Drude, Lukas, et al. “Unsupervised Training of Neural Mask-Based Beamforming.” INTERSPEECH 2019, Graz, Austria, 2019.
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2019 | Conference Paper | LibreCat-ID: 12874 |
Drude, Lukas, et al. “Unsupervised Training of a Deep Clustering Model for Multichannel Blind Source Separation.” ICASSP 2019, Brighton, UK, 2019.
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2019 | Conference Paper | LibreCat-ID: 12875 |
Heymann, Jahn, et al. “Joint Optimization of Neural Network-Based WPE Dereverberation and Acoustic Model for Robust Online ASR.” ICASSP 2019, Brighton, UK, 2019.
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2019 | Conference Paper | LibreCat-ID: 12876 |
Kurz, Gerhard, et al. “Directional Statistics and Filtering Using LibDirectional.” Journal of Statistical Software 89(4), 2019.
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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, doi:10.1109/JSTSP.2019.2912565.
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2019 | Conference Paper | LibreCat-ID: 15812 |
Heymann, Jahn, and Bo Li Khe Chai Sim. “Improving CTC Using Stimulated Learning for Sequence Modeling.” ICASSP 2019, Brighton, UK, 2019.
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2019 | Conference Paper | LibreCat-ID: 15816 |
Zorila, Catalin, et al. “An Investigation Into the Effectiveness of Enhancement in ASR Training and Test for Chime-5 Dinner Party Transcription.” ASRU 2019, Sentosa, Singapore, 2019.
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2019 | Conference Paper | LibreCat-ID: 14822 |
Heitkaemper, Jens, et al. “A Study on Online Source Extraction in the Presence of Changing Speaker Positions.” International Conference on Statistical Language and Speech Processing 2019, Ljubljana, Slovenia, 2019.
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2019 | Conference Paper | LibreCat-ID: 14824 |
Martin-Donas, Juan M., et al. “Multi-Channel Block-Online Source Extraction Based on Utterance Adaptation.” INTERSPEECH 2019, Graz, Austria, 2019.
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2019 | Conference Paper | LibreCat-ID: 14826 |
Kanda, Naoyuki, et al. “Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn University Joint Investigation for Dinner Party ASR.” INTERSPEECH 2019, Graz, Austria, 2019.
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2019 | Conference Paper | LibreCat-ID: 13271 |
von Neumann, Thilo, et al. “All-Neural Online Source Separation, Counting, and Diarization for Meeting Analysis.” ICASSP 2019, Brighton, UK, 2019.
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2019 | Journal Article | LibreCat-ID: 15814 |
Haeb-Umbach, Reinhold, et al. “Speech Processing for Digital Home Assistance: Combining Signal Processing With Deep-Learning Techniques.” IEEE Signal Processing Magazine, vol. 36, no. 6, 2019, pp. 111–24, doi:10.1109/MSP.2019.2918706.
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2019 | Journal Article | LibreCat-ID: 19450 |
Haeb-Umbach, Reinhold. “Lektionen Für Alexa & Co?!” DFG Forschung 1/2019, 2019, pp. 12–15, doi:10.1002/fors.201970104.
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2019 | Conference Paper | LibreCat-ID: 15237 |
Gburrek, Tobias, et al. “Unsupervised Learning of a Disentangled Speech Representation for Voice Conversion.” Proc. 10th ISCA Speech Synthesis Workshop, 2019, pp. 81–86, doi:10.21437/SSW.2019-15.
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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.” DCASE2019 Workshop, New York, USA, 2019.
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