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257 Publications


2020 | Conference Paper | LibreCat-ID: 17763
Haeb-Umbach, R. (2020). Sprachtechnologien für Digitale Assistenten. In R. Böck, I. Siegert, & A. Wendemuth (Eds.), Studientexte zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung 2020 (pp. 227–234). TUDpress, Dresden.
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2020 | Journal Article | LibreCat-ID: 17598
Nakatani, T., Boeddeker, C., Kinoshita, K., Ikeshita, R., Delcroix, M., & Haeb-Umbach, R. (2020). Jointly optimal denoising, dereverberation, and source separation. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 1–1. https://doi.org/10.1109/TASLP.2020.3013118
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2020 | Conference Paper | LibreCat-ID: 18651
Gburrek, T., Schmalenstroeer, J., Brendel, A., Kellermann, W., & Haeb-Umbach, R. (2020). Deep Neural Network based Distance Estimation for Geometry Calibration in Acoustic Sensor Network. In European Signal Processing Conference (EUSIPCO).
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2019 | Conference Paper | LibreCat-ID: 12875
Heymann, J., Drude, L., Haeb-Umbach, R., Kinoshita, K., & Nakatani, T. (2019). Joint Optimization of Neural Network-based WPE Dereverberation and Acoustic Model for Robust Online ASR. In ICASSP 2019, Brighton, UK.
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2019 | Conference Paper | LibreCat-ID: 14826
Kanda, N., Boeddeker, C., Heitkaemper, J., Fujita, Y., Horiguchi, S., & Haeb-Umbach, R. (2019). Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn University Joint Investigation for Dinner Party ASR. In INTERSPEECH 2019, Graz, Austria.
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2019 | Conference Paper | LibreCat-ID: 15792
Nelus, A., Ebbers, J., Haeb-Umbach, R., & Martin, R. (2019). Privacy-preserving Variational Information Feature Extraction for Domestic Activity Monitoring Versus Speaker Identification. In INTERSPEECH 2019, Graz, Austria.
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2019 | Conference Paper | LibreCat-ID: 15812
Heymann, J., & Khe Chai Sim, B. L. (2019). Improving CTC Using Stimulated Learning for Sequence Modeling. In ICASSP 2019, Brighton, UK.
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2019 | Journal Article | LibreCat-ID: 17762
Haeb-Umbach, R. (2019). Lektionen für Alexa \& Co?! Forschung, 44(1), 12–15. https://doi.org/10.1002/fors.201970104
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2019 | Journal Article | LibreCat-ID: 19446
Drude, L., Heitkaemper, J., Boeddeker, C., & Haeb-Umbach, R. (2019). SMS-WSJ: Database, performance measures, and baseline recipe for multi-channel source separation and recognition. ArXiv E-Prints.
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2019 | Conference Paper | LibreCat-ID: 12876
Kurz, G., Gilitschenski, I., Pfaff, F., Drude, L., Hanebeck, U. D., Haeb-Umbach, R., & Siegwart, R. Y. (2019). Directional Statistics and Filtering Using libDirectional. In Journal of Statistical Software 89(4).
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2019 | Journal Article | LibreCat-ID: 12890
Drude, L., & Haeb-Umbach, R. (2019). Integration of Neural Networks and Probabilistic Spatial Models for Acoustic Blind Source Separation. IEEE Journal of Selected Topics in Signal Processing. https://doi.org/10.1109/JSTSP.2019.2912565
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2019 | Conference Paper | LibreCat-ID: 14822
Heitkaemper, J., Feher, T., Freitag, M., & Haeb-Umbach, R. (2019). 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.
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2019 | Conference Paper | LibreCat-ID: 15794
Ebbers, J., & Haeb-Umbach, R. (2019). Convolutional Recurrent Neural Network and Data Augmentation for Audio Tagging with Noisy Labels and Minimal Supervision. In DCASE2019 Workshop, New York, USA.
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2019 | Conference Paper | LibreCat-ID: 15237
Gburrek, T., Glarner, T., Ebbers, J., Haeb-Umbach, R., & Wagner, P. (2019). Unsupervised Learning of a Disentangled Speech Representation for Voice Conversion. In Proc. 10th ISCA Speech Synthesis Workshop (pp. 81–86). Vienna. https://doi.org/10.21437/SSW.2019-15
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2019 | Journal Article | LibreCat-ID: 15814
Haeb-Umbach, R., Watanabe, S., Nakatani, T., Bacchiani, M., Hoffmeister, B., Seltzer, M. L., … Souden, M. (2019). Speech Processing for Digital Home Assistance: Combining Signal Processing With Deep-Learning Techniques. IEEE Signal Processing Magazine, 36(6), 111–124. https://doi.org/10.1109/MSP.2019.2918706
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2019 | Journal Article | LibreCat-ID: 19450
Haeb-Umbach, R. (2019). Lektionen für Alexa & Co?! DFG Forschung 1/2019, 12–15. https://doi.org/10.1002/fors.201970104
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2019 | Conference Paper | LibreCat-ID: 14824
Martin-Donas, J. M., Heitkaemper, J., Haeb-Umbach, R., Gomez, A. M., & Peinado, A. M. (2019). Multi-Channel Block-Online Source Extraction based on Utterance Adaptation. In INTERSPEECH 2019, Graz, Austria.
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2019 | Conference Paper | LibreCat-ID: 11965
Drude, L., Heymann, J., & Haeb-Umbach, R. (2019). Unsupervised training of neural mask-based beamforming. In INTERSPEECH 2019, Graz, Austria.
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2019 | Conference Paper | LibreCat-ID: 13271
von Neumann, T., Kinoshita, K., Delcroix, M., Araki, S., Nakatani, T., & Haeb-Umbach, R. (2019). All-neural Online Source Separation, Counting, and Diarization for Meeting Analysis. In ICASSP 2019, Brighton, UK.
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2019 | Conference Paper | LibreCat-ID: 12874
Drude, L., Hasenklever, D., & Haeb-Umbach, R. (2019). Unsupervised Training of a Deep Clustering Model for Multichannel Blind Source Separation. In ICASSP 2019, Brighton, UK.
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