Rohlfing, K. J., Cimiano, P., Scharlau, I., Matzner, T., Buhl, H. M., Buschmeier, H., Esposito, E., Grimminger, A., Hammer, B., Haeb-Umbach, R., Horwath, I., Hüllermeier, E., Kern, F., Kopp, S., Thommes, K., Ngonga Ngomo, A.-C., Schulte, C., Wachsmuth, H., Wagner, P., &; Wrede, B. (2021). Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems. IEEE Transactions on Cognitive and Developmental Systems, 13(3), 717–728.https://doi.org/10.1109/tcds.2020.3044366 
LibreCat: /record/24456
DOI: 10.1109/tcds.2020.3044366

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.
LibreCat: /record/17763

Boeddeker, C., Nakatani, T., Kinoshita, K., &; Haeb-Umbach, R. (2020). Jointly Optimal Dereverberation and Beamforming. In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).https://doi.org/10.1109/icassp40776.2020.9054393 
LibreCat: /record/20695
DOI: 10.1109/icassp40776.2020.9054393

Boeddeker, C., Cord-Landwehr, T., Heitkaemper, J., Zorila, C., Hayakawa, D., Li, M.,  Haeb-Umbach, R. (2020). Towards a speaker diarization system for the CHiME 2020 dinner party transcription. In Proc. CHiME 2020 Workshop on Speech Processing in Everyday Environments.
LibreCat: /record/20700

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 
LibreCat: /record/17598
DOI: 10.1109/TASLP.2020.3013118

Heitkaemper, J., Jakobeit, D., Boeddeker, C., Drude, L., &; Haeb-Umbach, R. (2020). Demystifying TasNet: A Dissecting Approach. ICASSP 2020 Virtual Barcelona Spain.
LibreCat: /record/20504

Watanabe, S., Mandel, M., Barker, J., Vincent, E., Arora, A., Chang, X., Khudanpur, S., Manohar, V., Povey, D., Raj, D., Snyder, D., Subramanian, A. S., Trmal, J., Yair, B. B., Boeddeker, C., Ni, Z., Fujita, Y., Horiguchi, S., Kanda, N.,  Ryant, N. (2020). CHiME-6 Challenge:Tackling Multispeaker Speech Recognition for  Unsegmented Recordings. In arXiv:2004.09249.
LibreCat: /record/28263

Heitkaemper, J., Schmalenstroeer, J., &; Haeb-Umbach, R. (2020). Statistical and Neural Network Based Speech Activity Detection in Non-Stationary Acoustic Environments. INTERSPEECH 2020 Virtual Shanghai China.
LibreCat: /record/20505

von Neumann, T., Kinoshita, K., Drude, L., Boeddeker, C., Delcroix, M., Nakatani, T., &; Haeb-Umbach, R. (2020). End-to-End Training of Time Domain Audio Separation and Recognition. ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 7004–7008.https://doi.org/10.1109/ICASSP40776.2020.9053461 
LibreCat: /record/20762
DOI: 10.1109/ICASSP40776.2020.9053461

von Neumann, T., Boeddeker, C., Drude, L., Kinoshita, K., Delcroix, M., Nakatani, T., &; Haeb-Umbach, R. (2020). Multi-Talker ASR for an Unknown Number of Sources: Joint Training of Source Counting, Separation and ASR. Proc. Interspeech 2020, 3097–3101.https://doi.org/10.21437/Interspeech.2020-2519 
LibreCat: /record/20764
DOI: 10.21437/Interspeech.2020-2519

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).
LibreCat: /record/18651

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 
LibreCat: /record/20766
DOI: 10.21437/Interspeech.2020-2388

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 (DCA).
LibreCat: /record/20753

Haeb-Umbach, R. (2019). Lektionen für Alexa \'26; Co?! Forschung, 44(1), 12–15.https://doi.org/10.1002/fors.201970104 
LibreCat: /record/17762
DOI: 10.1002/fors.201970104

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.
LibreCat: /record/19446

Drude, L., Heymann, J., &; Haeb-Umbach, R. (2019). Unsupervised training of neural mask-based beamforming. In INTERSPEECH 2019, Graz, Austria.
LibreCat: /record/11965

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.
LibreCat: /record/12874

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.
LibreCat: /record/12875

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).
LibreCat: /record/12876

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 
LibreCat: /record/12890
DOI: 10.1109/JSTSP.2019.2912565

Heymann, J., &; Khe Chai Sim, B. L. (2019). Improving CTC Using Stimulated Learning for Sequence Modeling. In ICASSP 2019, Brighton, UK.
LibreCat: /record/15812

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.
LibreCat: /record/15816

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.
LibreCat: /record/14822

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.
LibreCat: /record/14824

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.
LibreCat: /record/14826

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.
LibreCat: /record/13271

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 
LibreCat: /record/15814
DOI: 10.1109/MSP.2019.2918706

Haeb-Umbach, R. (2019). Lektionen für Alexa &; Co?! DFG Forschung 1/2019, 12–15.https://doi.org/10.1002/fors.201970104 
LibreCat: /record/19450
DOI: 10.1002/fors.201970104

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 
LibreCat: /record/15237
DOI: 10.21437/SSW.2019-15

Ebbers, J., &; Haeb-Umbach, R. (2019). Convolutional Recurrent Neural Network and Data Augmentation for Audio Tagging with Noisy Labels and Minimal Supervision. DCA Workshop, New York, USA.
LibreCat: /record/15794

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.
LibreCat: /record/15796

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.
LibreCat: /record/15792

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 
LibreCat: /record/18107
DOI: 10.1109/ICASSP.2018.8462372

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.
LibreCat: /record/11760

Heymann, J., Drude, L., Haeb-Umbach, R., Kinoshita, K., &; Nakatani, T. (2018). Frame-Online DNN-WPE Dereverberation. In IWAENC 2018, Tokio, Japan.
LibreCat: /record/11835

Heitkaemper, J., Heymann, J., &; Haeb-Umbach, R. (2018). Smoothing along Frequency in Online Neural Network Supported Acoustic Beamforming. In ITG 2018, Oldenburg, Germany.
LibreCat: /record/11837

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.
LibreCat: /record/11872

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.
LibreCat: /record/11873

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.).
LibreCat: /record/11916

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.
LibreCat: /record/12898

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.
LibreCat: /record/12900

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.
LibreCat: /record/12901

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 
LibreCat: /record/29923
DOI: 10.21437/Interspeech.2018-1456

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.
LibreCat: /record/12899

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.
LibreCat: /record/6859

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.
LibreCat: /record/11747

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.
LibreCat: /record/11907

Schmalenstroeer, J., &; Haeb-Umbach, R. (2018). Efficient Sampling Rate Offset Compensation - An Overlap-Save Based Approach. 26th European Signal Processing Conference (EUSIPCO 2018).
LibreCat: /record/11838

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.
LibreCat: /record/11876

Ebbers, J., Heitkaemper, J., Schmalenstroeer, J., &; Haeb-Umbach, R. (2018). Benchmarking Neural Network Architectures for Acoustic Sensor Networks. ITG 2018, Oldenburg, Germany.
LibreCat: /record/11836

Schmalenstroeer, J., &; Haeb-Umbach, R. (2018). Insights into the Interplay of Sampling Rate Offsets and MVDR Beamforming. ITG 2018, Oldenburg, Germany.
LibreCat: /record/11839

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).
LibreCat: /record/11717

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.
LibreCat: /record/11735

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).
LibreCat: /record/11736

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).
LibreCat: /record/11737

Drude, L., &; Haeb-Umbach, R. (2017). Tight integration of spatial and spectral features for BSS with Deep Clustering embeddings. In INTERSPEECH 2017, Stockholm, Schweden.
LibreCat: /record/11754

Glarner, T., Boenninghoff, B., Walter, O., &; Haeb-Umbach, R. (2017). Leveraging Text Data for Word Segmentation for Underresourced Languages. In INTERSPEECH 2017, Stockholm, Schweden.
LibreCat: /record/11770

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).
LibreCat: /record/11809

Heymann, J., Drude, L., &; Haeb-Umbach, R. (2017). A Generic Neural Acoustic Beamforming Architecture for Robust Multi-Channel Speech Processing. Computer Speech and Language.
LibreCat: /record/11811

Jacob, F., &; Schmalenstroeer, J. (2017). Building or Enclosure Termination Closing and/or Opening Apparatus, and Method for Operating a Building or Enclosure Termination.
LibreCat: /record/12081

Fei, T., Grimm, C., Farhoud, R., Breddermann, T., Warsitz, E., &; Haeb-Umbach, R. (2017). A Novel Target Separation Algorithm Applied to The Two-Dimensional Spectrum for FMCW Automotive Radar Systems. IEEE International Conference on Microwave, Communications, Anthenas and Electronic Systems.
LibreCat: /record/11763

Grimm, C., Breddermann, T., Farhoud, R., Fei, T., Warsitz, E., &; Haeb-Umbach, R. (2017). Hypothesis Test for the Detection of Moving Targets in Automotive Radar. IEEE International Conference on Microwave, Communications, Anthenas and Electronic Systems (COMCAS).
LibreCat: /record/11772

Ebbers, J., Heymann, J., Drude, L., Glarner, T., Haeb-Umbach, R., &; Raj, B. (2017). Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery. INTERSPEECH 2017, Stockholm, Schweden.
LibreCat: /record/11759

Schmalenstroeer, J., Heymann, J., Drude, L., Boeddeker, C., &; Haeb-Umbach, R. (2017). Multi-Stage Coherence Drift Based Sampling Rate Synchronization for Acoustic Beamforming. IEEE 19th International Workshop on Multimedia Signal Processing (MMSP).
LibreCat: /record/11895

Grimm, C., Farhoud, R., Fei, T., Warsitz, E., &; Haeb-Umbach, R. (2017). Detection of Moving Targets in Automotive Radar with Distorted Ego-Velocity Information. IEEE Microwaves, Radar and Remote Sensing Symposium (MRRS).
LibreCat: /record/11773

Chinaev, A., &; Haeb-Umbach, R. (2016). A Priori SNR Estimation Using a Generalized Decision Directed Approach. In INTERSPEECH 2016, San Francisco, USA.
LibreCat: /record/11738

Chinaev, A., Heitkaemper, J., &; Haeb-Umbach, R. (2016). A Priori SNR Estimation Using Weibull Mixture Model. In 12. ITG Fachtagung Sprachkommunikation (ITG 2016).
LibreCat: /record/11743

Chinaev, A., Heymann, J., Drude, L., &; Haeb-Umbach, R. (2016). Noise-Presence-Probability-Based Noise PSD Estimation by Using DNNs. In 12. ITG Fachtagung Sprachkommunikation (ITG 2016).
LibreCat: /record/11744

Drude, L., Boeddeker, C., &; Haeb-Umbach, R. (2016). Blind Speech Separation based on Complex Spherical k-Mode Clustering. In Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP).
LibreCat: /record/11751

Drude, L., Raj, B., &; Haeb-Umbach, R. (2016). On the appropriateness of complex-valued neural networks for speech enhancement. In INTERSPEECH 2016, San Francisco, USA.
LibreCat: /record/11756

Glarner, T., Mahdi Momenzadeh, M., Drude, L., &; Haeb-Umbach, R. (2016). Factor Graph Decoding for Speech Presence Probability Estimation. In 12. ITG Fachtagung Sprachkommunikation (ITG 2016).
LibreCat: /record/11771

Heymann, J., Drude, L., &; Haeb-Umbach, R. (2016). Neural Network Based Spectral Mask Estimation for Acoustic Beamforming. In Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP).
LibreCat: /record/11812

Jacob, F., &; Haeb-Umbach, R. (2016). On the Bias of Direction of Arrival Estimation Using Linear Microphone Arrays. In 12. ITG Fachtagung Sprachkommunikation (ITG 2016).
LibreCat: /record/11829

Heymann, J., Drude, L., &; Haeb-Umbach, R. (2016). Wide Residual BLSTM Network with Discriminative Speaker Adaptation for Robust Speech Recognition. In Computer Speech and Language.
LibreCat: /record/11834

Kinoshita, K., Delcroix, M., Gannot, S., Habets, E. A. P., Haeb-Umbach, R., Kellermann, W.,  Yoshioka, T. (2016). A summary of the REVERB challenge: state-of-the-art and remaining challenges in reverberant speech processing research. EURASIP Journal on Advances in Signal Processing.
LibreCat: /record/11840

Plinge, A., Jacob, F., Haeb-Umbach, R., &; Fink, G. A. (2016). Acoustic Microphone Geometry Calibration: An overview and experimental evaluation of state-of-the-art algorithms. IEEE Signal Processing Magazine, 33(4), 14–29.https://doi.org/10.1109/MSP.2016.2555198 
LibreCat: /record/11886
DOI: 10.1109/MSP.2016.2555198

Menne, T., Heymann, J., Alexandridis, A., Irie, K., Zeyer, A., Kitza, M.,  Mouchtaris, A. (2016). The RWTH/UPB/FORTH System Combination for the 4th CHiME Challenge Evaluation. In Computer Speech and Language.
LibreCat: /record/11908

Walter, O., &; Haeb-Umbach, R. (2016). Unsupervised Word Discovery from Speech using Bayesian Hierarchical Models. In 38th German Conference on Pattern Recognition (GCPR 2016).
LibreCat: /record/11920

Schmalenstroeer, J., &; Haeb-Umbach, R. (2016). Investigations into Bluetooth Low Energy Localization Precision Limits. 24th European Signal Processing Conference (EUSIPCO 2016).
LibreCat: /record/11890

Chinaev, A., &; Haeb-Umbach, R. (2015). On Optimal Smoothing in Minimum Statistics Based Noise Tracking. In Interspeech 2015 (pp. 1785–1789).
LibreCat: /record/11739

Despotovic, V., Walter, O., &; Haeb-Umbach, R. (2015). Semantic Analysis of Spoken Input using Markov Logic Networks. In INTERSPEECH 2015.
LibreCat: /record/11748

Drude, L., Jacob, F., &; Haeb-Umbach, R. (2015). DOA-Estimation based on a Complex Watson Kernel Method. In 23th European Signal Processing Conference (EUSIPCO 2015).
LibreCat: /record/11755

Heymann, J., Drude, L., Chinaev, A., &; Haeb-Umbach, R. (2015). BLSTM supported GEV Beamformer Front-End for the 3RD CHiME Challenge. In Automatic Speech Recognition and Understanding Workshop (ASRU 2015).
LibreCat: /record/11810

Heymann, J., Haeb-Umbach, R., Golik, P., &; Schlueter, R. (2015). Unsupervised adaptation of a denoising autoencoder by Bayesian Feature Enhancement for reverberant asr under mismatch conditions. In Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on (pp. 5053–5057).https://doi.org/10.1109/ICASSP.2015.7178933 
LibreCat: /record/11813
DOI: 10.1109/ICASSP.2015.7178933

Jacob, F., &; Haeb-Umbach, R. (2015). Absolute Geometry Calibration of Distributed Microphone Arrays in an Audio-Visual Sensor Network. ArXiv E-Prints.
LibreCat: /record/11830

Li, J., Deng, L., Haeb-Umbach, R., &; Gong, Y. (2015). Robust Automatic Speech Recognition. Elsevier.
LibreCat: /record/11868

Marchi, E., Schuller, B., Baron-Cohen, S., Golan, O., Boelte, S., Arora, P., &; Haeb-Umbach, R. (2015). Typicality and Emotion in the Voice of Children with Autism Spectrum Condition: Evidence Across Three Languages. In INTERSPEECH 2015.
LibreCat: /record/11875

Walter, O., Drude, L., &; Haeb-Umbach, R. (2015). Source Counting in Speech Mixtures by Nonparametric Bayesian Estimation of an infinite Gaussian Mixture Model. In 40th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015).
LibreCat: /record/11919

Walter, O., Haeb-Umbach, R., Mokbel, B., Paassen, B., &; Hammer, B. (2015). Autonomous Learning of Representations. KI - Kuenstliche Intelligenz, 1–13.http://dx.doi.org/10.1007/s13218-015-0372-1 
LibreCat: /record/11922
DOI: http://dx.doi.org/10.1007/s13218-015-0372-1

Walter, O., Haeb-Umbach, R., Strunk, J., &; P. Himmelmann, N. (2015). Lexicon Discovery for Language Preservation using Unsupervised Word Segmentation with Pitman-Yor Language Models (FGNT-2015-01).
LibreCat: /record/11923

Hoang, M. K., Schmalenstroeer, J., &; Haeb-Umbach, R. (2015). Aligning training models with smartphone properties in WiFi fingerprinting based indoor localization. 40th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015).
LibreCat: /record/11874

Chinaev, A., Puels, M., &; Haeb-Umbach, R. (2014). Spectral Noise Tracking for Improved Nonstationary Noise Robust ASR. In 11. ITG Fachtagung Sprachkommunikation (ITG 2014).
LibreCat: /record/11746

Drude, L., Chinaev, A., Tran Vu, D. H., &; Haeb-Umbach, R. (2014). Source Counting in Speech Mixtures Using a Variational EM Approach for Complexwatson Mixture Models. In 39th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014).
LibreCat: /record/11752

Drude, L., Chinaev, A., Tran Vu, D. H., &; Haeb-Umbach, R. (2014). Towards Online Source Counting in Speech Mixtures Applying a Variational EM for Complex Watson Mixture Models. In 14th International Workshop on Acoustic Signal Enhancement (IWAENC 2014) (pp. 213–217).
LibreCat: /record/11753

Heymann, J., Walter, O., Haeb-Umbach, R., &; Raj, B. (2014). Iterative Bayesian Word Segmentation for Unspuervised Vocabulary Discovery from Phoneme Lattices. In 39th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014).
LibreCat: /record/11814

Jacob, F., &; Haeb-Umbach, R. (2014). Coordinate Mapping Between an Acoustic and Visual Sensor Network in the Shape Domain for a Joint Self-Calibrating Speaker Tracking. In 11. ITG Fachtagung Sprachkommunikation (ITG 2014).
LibreCat: /record/11831

Leutnant, V., Krueger, A., &; Haeb-Umbach, R. (2014). A New Observation Model in the Logarithmic Mel Power Spectral Domain for the Automatic Recognition of Noisy Reverberant Speech. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 22(1), 95–109.https://doi.org/10.1109/TASLP.2013.2285480 
LibreCat: /record/11861
DOI: 10.1109/TASLP.2013.2285480

Li, J., Deng, L., Gong, Y., &; Haeb-Umbach, R. (2014). An Overview of Noise-Robust Automatic Speech Recognition. IEEE Transactions on Audio, Speech and Language Processing, 22(4), 745–777.https://doi.org/10.1109/TASLP.2014.2304637 
LibreCat: /record/11867
DOI: 10.1109/TASLP.2014.2304637

Walter, O., Despotovic, V., Haeb-Umbach, R., Gemmeke, J., Ons, B., &; Van hamme, H. (2014). An Evaluation of Unsupervised Acoustic Model Training for a Dysarthric Speech Interface. In INTERSPEECH 2014.
LibreCat: /record/11918

Schmalenstroeer, J., Jebramcik, P., &; Haeb-Umbach, R. (2014). A combined hardware-software approach for acoustic sensor network synchronization . Signal Processing, 0.http://dx.doi.org/10.1016/j.sigpro.2014.06.030 
LibreCat: /record/11898
DOI: http://dx.doi.org/10.1016/j.sigpro.2014.06.030