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318 Publications
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. European Signal Processing Conference (EUSIPCO).
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2020 | Conference Paper | LibreCat-ID: 20766 |
Kinoshita, K., von Neumann, T., Delcroix, M., Nakatani, T., & Haeb-Umbach, R. (2020). Multi-Path RNN for Hierarchical Modeling of Long Sequential Data and its Application to Speaker Stream Separation. Proc. Interspeech 2020, 2652–2656. https://doi.org/10.21437/Interspeech.2020-2388
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2020 | Conference Paper | LibreCat-ID: 20753 |
Ebbers, J., & Haeb-Umbach, R. (2020). 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).
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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: 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: 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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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: 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: 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 | Conference Paper | LibreCat-ID: 15816 |
Zorila, C., Boeddeker, C., Doddipatla, R., & Haeb-Umbach, R. (2019). An Investigation Into the Effectiveness of Enhancement in ASR Training and Test for Chime-5 Dinner Party Transcription. In ASRU 2019, Sentosa, Singapore.
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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: 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: 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: 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 | Journal Article | LibreCat-ID: 15814 |
Haeb-Umbach, R., Watanabe, S., Nakatani, T., Bacchiani, M., Hoffmeister, B., Seltzer, M. L., Zen, H., & 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: 15237 |
Gburrek, T., Glarner, T., Ebbers, J., Haeb-Umbach, R., & Wagner, P. (2019). Unsupervised Learning of a Disentangled Speech Representation for Voice Conversion. Proc. 10th ISCA Speech Synthesis Workshop, 81–86. https://doi.org/10.21437/SSW.2019-15
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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. DCASE2019 Workshop, New York, USA.
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2019 | Conference Paper | LibreCat-ID: 15796 |
Ebbers, J., Drude, L., Haeb-Umbach, R., Brendel, A., & Kellermann, W. (2019). Weakly Supervised Sound Activity Detection and Event Classification in Acoustic Sensor Networks. CAMSAP 2019, Guadeloupe, West Indies.
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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. INTERSPEECH 2019, Graz, Austria.
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2018 | Conference Paper | LibreCat-ID: 18107
Heymann, J., Bacchiani, M., & Sainath, T. N. (2018). Performance of Mask Based Statistical Beamforming in a Smart Home Scenario. In 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 6722–6726). https://doi.org/10.1109/ICASSP.2018.8462372
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2018 | Conference Paper | LibreCat-ID: 11760 |
Ebbers, J., Nelus, A., Martin, R., & Haeb-Umbach, R. (2018). Evaluation of Modulation-MFCC Features and DNN Classification for Acoustic Event Detection. In DAGA 2018, München.
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2018 | Conference Paper | LibreCat-ID: 11835 |
Heymann, J., Drude, L., Haeb-Umbach, R., Kinoshita, K., & Nakatani, T. (2018). Frame-Online DNN-WPE Dereverberation. In IWAENC 2018, Tokio, Japan.
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2018 | Conference Paper | LibreCat-ID: 11837 |
Heitkaemper, J., Heymann, J., & Haeb-Umbach, R. (2018). Smoothing along Frequency in Online Neural Network Supported Acoustic Beamforming. In ITG 2018, Oldenburg, Germany.
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2018 | Conference Paper | LibreCat-ID: 11872 |
Drude, L., Boeddeker, C., Heymann, J., Kinoshita, K., Delcroix, M., Nakatani, T., & Haeb-Umbach, R. (2018). Integration neural network based beamforming and weighted prediction error dereverberation. In INTERSPEECH 2018, Hyderabad, India.
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2018 | Conference Paper | LibreCat-ID: 11873 |
Drude, L., Heymann, J., Boeddeker, C., & Haeb-Umbach, R. (2018). NARA-WPE: A Python package for weighted prediction error dereverberation in Numpy and Tensorflow for online and offline processing. In ITG 2018, Oldenburg, Germany.
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2018 | Journal Article | LibreCat-ID: 11916 |
Despotovic, V., Walter, O., & Haeb-Umbach, R. (2018). Machine learning techniques for semantic analysis of dysarthric speech: An experimental study. Speech Communication 99 (2018) 242-251 (Elsevier B.V.).
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2018 | Conference Paper | LibreCat-ID: 12898 |
Drude, L., von Neumann, T., & Haeb-Umbach, R. (2018). Deep Attractor Networks for Speaker Re-Identifikation and Blind Source Separation. In ICASSP 2018, Calgary, Canada.
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2018 | Conference Paper | LibreCat-ID: 12900 |
Drude, L., Higuchi, Takuya , Kinoshita, K., Nakatani, T., & Haeb-Umbach, R. (2018). Dual Frequency- and Block-Permutation Alignment for Deep Learning Based Block-Online Blind Source Separation. In ICASSP 2018, Calgary, Canada.
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2018 | Conference Paper | LibreCat-ID: 12901 |
Boeddeker, C., Erdogan, H., Yoshioka, T., & Haeb-Umbach, R. (2018). Exploring Practical Aspects of Neural Mask-Based Beamforming for Far-Field Speech Recognition. In ICASSP 2018, Calgary, Canada.
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2018 | Conference Paper | LibreCat-ID: 29923 |
Watanabe, S., Hori, T., Karita, S., Hayashi, T., Nishitoba, J., Unno, Y., Enrique Yalta Soplin, N., Heymann, J., Wiesner, M., Chen, N., Renduchintala, A., & Ochiai, T. (2018). ESPnet: End-to-End Speech Processing Toolkit. INTERSPEECH 2018, Hyderabad, India, 2207–2211. https://doi.org/10.21437/Interspeech.2018-1456
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2018 | Conference Paper | LibreCat-ID: 12899 |
Boeddeker, C., Heitkaemper, J., Schmalenstroeer, J., Drude, L., Heymann, J., & Haeb-Umbach, R. (2018). Front-End Processing for the CHiME-5 Dinner Party Scenario. Proc. CHiME 2018 Workshop on Speech Processing in Everyday Environments, Hyderabad, India.
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2018 | Conference Paper | LibreCat-ID: 6859
Afifi, H., Schmalenstroeer, J., Ullmann, J., Haeb-Umbach, R., & Karl, H. (2018). MARVELO - A Framework for Signal Processing in Wireless Acoustic Sensor Networks. Speech Communication; 13th ITG-Symposium, 1–5.
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2018 | Conference Paper | LibreCat-ID: 11747 |
Grimm, C., Breddermann, T., Farhoud, R., Fei, T., Warsitz, E., & Haeb-Umbach, R. (2018). Discrimination of Stationary from Moving Targets with Recurrent Neural Networks in Automotive Radar. International Conference on Microwaves for Intelligent Mobility (ICMIM) 2018.
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2018 | Conference Paper | LibreCat-ID: 11907 |
Glarner, T., Hanebrink, P., Ebbers, J., & Haeb-Umbach, R. (2018). Full Bayesian Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery. INTERSPEECH 2018, Hyderabad, India.
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2018 | Conference Paper | LibreCat-ID: 11838 |
Schmalenstroeer, J., & Haeb-Umbach, R. (2018). Efficient Sampling Rate Offset Compensation - An Overlap-Save Based Approach. 26th European Signal Processing Conference (EUSIPCO 2018).
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2018 | Conference Paper | LibreCat-ID: 11876 |
Kitza, M., Michel, W., Boeddeker, C., Heitkaemper, J., Menne, T., Schlüter, R., Ney, H., Schmalenstroeer, J., Drude, L., Heymann, J., & Haeb-Umbach, R. (2018). The RWTH/UPB System Combination for the CHiME 2018 Workshop. Proc. CHiME 2018 Workshop on Speech Processing in Everyday Environments, Hyderabad, India.
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2018 | Conference Paper | LibreCat-ID: 11836 |
Ebbers, J., Heitkaemper, J., Schmalenstroeer, J., & Haeb-Umbach, R. (2018). Benchmarking Neural Network Architectures for Acoustic Sensor Networks. ITG 2018, Oldenburg, Germany.
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2018 | Conference Paper | LibreCat-ID: 11839 |
Schmalenstroeer, J., & Haeb-Umbach, R. (2018). Insights into the Interplay of Sampling Rate Offsets and MVDR Beamforming. ITG 2018, Oldenburg, Germany.
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2017 | Conference Paper | LibreCat-ID: 11717 |
Arora, P., & Haeb-Umbach, R. (2017). A Study on Transfer Learning for Acoustic Event Detection in a Real Life Scenario. In IEEE 19th International Workshop on Multimedia Signal Processing (MMSP).
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2017 | Report | LibreCat-ID: 11735 |
Boeddeker, C., Hanebrink, P., Drude, L., Heymann, J., & Haeb-Umbach, R. (2017). On the Computation of Complex-valued Gradients with Application to Statistically Optimum Beamforming.
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2017 | Conference Paper | LibreCat-ID: 11736 |
Boeddeker, C., Hanebrink, P., Drude, L., Heymann, J., & Haeb-Umbach, R. (2017). Optimizing Neural-Network Supported Acoustic Beamforming by Algorithmic Differentiation. In Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP).
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2017 | Conference Paper | LibreCat-ID: 11737 |
Chinaev, A., & Haeb-Umbach, R. (2017). A Generalized Log-Spectral Amplitude Estimator for Single-Channel Speech Enhancement. In Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP).
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2017 | Conference Paper | LibreCat-ID: 11754 |
Drude, L., & Haeb-Umbach, R. (2017). Tight integration of spatial and spectral features for BSS with Deep Clustering embeddings. In INTERSPEECH 2017, Stockholm, Schweden.
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2017 | Conference Paper | LibreCat-ID: 11770 |
Glarner, T., Boenninghoff, B., Walter, O., & Haeb-Umbach, R. (2017). Leveraging Text Data for Word Segmentation for Underresourced Languages. In INTERSPEECH 2017, Stockholm, Schweden.
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2017 | Conference Paper | LibreCat-ID: 11809 |
Heymann, J., Drude, L., Boeddeker, C., Hanebrink, P., & Haeb-Umbach, R. (2017). BEAMNET: End-to-End Training of a Beamformer-Supported Multi-Channel ASR System. In Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP).
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2017 | Journal Article | LibreCat-ID: 11811 |
Heymann, J., Drude, L., & Haeb-Umbach, R. (2017). A Generic Neural Acoustic Beamforming Architecture for Robust Multi-Channel Speech Processing. Computer Speech and Language.
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2017 | Patent | LibreCat-ID: 12081
Jacob, F., & Schmalenstroeer, J. (2017). Building or Enclosure Termination Closing and/or Opening Apparatus, and Method for Operating a Building or Enclosure Termination.
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