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

Chinaev A, Haeb-Umbach R. A Priori SNR Estimation Using a Generalized Decision Directed Approach. In: INTERSPEECH 2016, San Francisco, USA. ; 2016.

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

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

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

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

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

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

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

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

Kinoshita K, Delcroix M, Gannot S, et al. 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. 2016.

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

Menne T, Heymann J, Alexandridis A, et al. The RWTH/UPB/FORTH System Combination for the 4th CHiME Challenge Evaluation. In: Computer Speech and Language. ; 2016.

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

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

Chinaev A, Haeb-Umbach R. On Optimal Smoothing in Minimum Statistics Based Noise Tracking. In: Interspeech 2015. ; 2015:1785-1789.

Despotovic V, Walter O, Haeb-Umbach R. Semantic Analysis of Spoken Input using Markov Logic Networks. In: INTERSPEECH 2015. ; 2015.

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

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

Heymann J, Haeb-Umbach R, Golik P, Schlueter R. 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. ; 2015:5053-5057. doi:10.1109/ICASSP.2015.7178933

Jacob F, Haeb-Umbach R. Absolute Geometry Calibration of Distributed Microphone Arrays in an Audio-Visual Sensor Network. ArXiv e-prints. 2015.

Li J, Deng L, Haeb-Umbach R, Gong Y. Robust Automatic Speech Recognition. Elsevier; 2015.

Marchi E, Schuller B, Baron-Cohen S, et al. Typicality and Emotion in the Voice of Children with Autism Spectrum Condition: Evidence Across Three Languages. In: INTERSPEECH 2015. ; 2015.

Walter O, Drude L, Haeb-Umbach R. 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). ; 2015.

Walter O, Haeb-Umbach R, Mokbel B, Paassen B, Hammer B. Autonomous Learning of Representations. KI - Kuenstliche Intelligenz. 2015:1-13. doi:http://dx.doi.org/10.1007/s13218-015-0372-1

Walter O, Haeb-Umbach R, Strunk J, P. Himmelmann N. Lexicon Discovery for Language Preservation Using Unsupervised Word Segmentation with Pitman-Yor Language Models (FGNT-2015-01).; 2015.

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

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

Drude L, Chinaev A, Tran Vu DH, Haeb-Umbach R. 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). ; 2014.

Drude L, Chinaev A, Tran Vu DH, Haeb-Umbach R. 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). ; 2014:213-217.

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

Jacob F, Haeb-Umbach R. 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). ; 2014.

Leutnant V, Krueger A, Haeb-Umbach R. 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. 2014;22(1):95-109. doi:10.1109/TASLP.2013.2285480

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

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

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

Schmalenstroeer J, Jebramcik P, Haeb-Umbach R. A Gossiping Approach to Sampling Clock Synchronization in Wireless Acoustic Sensor Networks. In: 39th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014). ; 2014.

Schmalenstroeer J, Zhao W, Haeb-Umbach R. Online Observation Error Model Estimation for Acoustic Sensor Network Synchronization. In: 11. ITG Fachtagung Sprachkommunikation (ITG 2014). ; 2014.

Abdelaziz AH, Zeiler S, Kolossa D, Leutnant V, Haeb-Umbach R. GMM-based significance decoding. In: Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference On. ; 2013:6827-6831. doi:10.1109/ICASSP.2013.6638984

Chinaev A, Haeb-Umbach R. MAP-based Estimation of the Parameters of a Gaussian Mixture Model in the Presence of Noisy Observations. In: 38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013). ; 2013:3352-3356. doi:10.1109/ICASSP.2013.6638279

Chinaev A, Haeb-Umbach R, Taghia J, Martin R. Improved Single-Channel Nonstationary Noise Tracking by an Optimized MAP-based Postprocessor. In: 38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013). ; 2013:7477-7481. doi:10.1109/ICASSP.2013.6639116

Enzner G, Schmid D, Haeb-Umbach R. On the Acoustic Channel Identification in Multi-Microphone Systems via Adaptive Blind Signal Enhancement Techniques. In: 21th European Signal Processing Conference (EUSIPCO 2013). ; 2013.

Heymann J, Walter O, Haeb-Umbach R, Raj B. Unsupervised Word Segmentation from Noisy Input. In: Automatic Speech Recognition and Understanding Workshop (ASRU 2013). ; 2013.

Hoang MK, Haeb-Umbach R. Parameter estimation and classification of censored Gaussian data with application to WiFi indoor positioning. In: 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013). ; 2013:3721-3725. doi:10.1109/ICASSP.2013.6638353

Kinoshita K, Delcroix M, Yoshioka T, et al. The reverb challenge: a common evaluation framework for dereverberation and recognition of reverberant speech. In:  IEEE Workshop on Applications of Signal Processing to Audio and Acoustics . ; 2013:22-23.

Leutnant V, Krueger A, Haeb-Umbach R. Bayesian Feature Enhancement for Reverberation and Noise Robust Speech Recognition. IEEE Transactions on Audio, Speech, and Language Processing. 2013;21(8):1640-1652. doi:10.1109/TASL.2013.2258013

Tran Vu DH, Haeb-Umbach R. Blind Speech Separation Exploiting Temporal and Spectral Correlations Using Turbo Decoding of 2D-HMMs. In: 21th European Signal Processing Conference (EUSIPCO 2013). ; 2013.

Vu DHT, Haeb-Umbach R. Using the turbo principle for exploiting temporal and spectral correlations in speech presence probability estimation. In: 38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013). ; 2013:863-867. doi:10.1109/ICASSP.2013.6637771

Walter O, Haeb-Umbach R, Chaudhuri S, Raj B. Unsupervised Word Discovery from Phonetic Input Using Nested Pitman-Yor Language Modeling. In: IEEE International Conference on Robotics and Automation (ICRA 2013). ; 2013.

Walter O, Korthals T, Haeb-Umbach R, Raj B. Hierarchical System for Word Discovery Exploiting DTW-Based Initialization. In: Automatic Speech Recognition and Understanding Workshop (ASRU 2013). ; 2013.

Walter O, Schmalenstroeer J, Haeb-Umbach R. A Novel Initialization Method for Unsupervised Learning of Acoustic Patterns in Speech (FGNT-2013-01).; 2013.

Jacob F, Schmalenstroeer J, Haeb-Umbach R. DoA-Based Microphone Array Position Self-Calibration Using Circular Statistic. In: 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013). ; 2013:116-120. doi:10.1109/ICASSP.2013.6637620

Schmalenstroeer J, Haeb-Umbach R. Sampling Rate Synchronisation in Acoustic Sensor Networks with a Pre-Trained Clock Skew Error Model. In: 21th European Signal Processing Conference (EUSIPCO 2013). ; 2013.

Hoang MK, Schmitz S, Drueke C, Vu DHT, Schmalenstroeer J, Haeb-Umbach R. Server based indoor navigation using RSSI and inertial sensor information. In: Positioning Navigation and Communication (WPNC), 2013 10th Workshop On. ; 2013:1-6. doi:10.1109/WPNC.2013.6533263

Hoang MK, Schmalenstroeer J, Drueke C, Tran Vu DH, Haeb-Umbach R. A Hidden Markov Model for Indoor User Tracking Based on WiFi Fingerprinting and Step Detection. In: 21th European Signal Processing Conference (EUSIPCO 2013). ; 2013.

Chinaev A, Haeb-Umbach R. Quality Analysis and Optimization of the MAP-based Noise Power Spectral Density Tracker. In: Speech Communication; 10. ITG Symposium; Proceedings. ; 2012.

Chinaev A, Krueger A, Tran Vu DH, Haeb-Umbach R. Improved Noise Power Spectral Density Tracking by a MAP-based Postprocessor. In: 37th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2012). ; 2012.

Krueger A, Haeb-Umbach R. Reverberant Speech Recognition. In: Techniques for Noise Robustness in Automatic Speech Recognition. Wiley; 2012.

Krueger A, Walter O, Leutnant V, Haeb-Umbach R. Bayesian Feature Enhancement for ASR of Noisy Reverberant Real-World Data. In: Proc. Interspeech. Portland, USA; 2012.

Leutnant V, Krueger A, Haeb-Umbach R. Investigations Into a Statistical Observation Model for Logarithmic Mel Power Spectral Density Features of Noisy Reverberant Speech. Speech Communication; 10 ITG Symposium; Proceedings of. 2012:1-4.

Leutnant V, Krueger A, Haeb-Umbach R. A Statistical Observation Model For Noisy Reverberant Speech Features and its Application to Robust ASR. In: Signal Processing, Communications and Computing (ICSPCC), 2012 IEEE International Conference On. ; 2012.

Leutnant V, Krueger A, Haeb-Umbach R. Derivation of the Power Compensation Constant in the Observation Model for Reverberant Speech in the Logarithmic Mel Power Spectral Domain.; 2012.

Tran Vu DH, Haeb-Umbach R. Exploiting Temporal Correlations in Joint Multichannel Speech Separation and Noise Suppression using Hidden Markov Models. In: International Workshop on Acoustic Signal Enhancement (IWAEN12). ; 2012.

Jacob F, Schmalenstroeer J, Haeb-Umbach R. Microphone Array Position Self-Calibration from Reverberant Speech Input. In: International Workshop on Acoustic Signal Enhancement (IWAENC 2012). ; 2012.

Walter O, Schmalenstroeer J, Engler A, Haeb-Umbach R. Smartphone-Based Sensor Fusion for Improved Vehicular Navigation. In: 9th Workshop on Positioning Navigation and Communication (WPNC 2012). ; 2012.

Bevermeier M, Flanke S, Haeb-Umbach R, Stehr J. A Platform for efficient Supply Chain Management Support in Logistics. In: International Workshop on Intelligent Transportation (WIT 2011). ; 2011.

Haeb-Umbach R. Uncertainty Decoding and Conditional Bayesian Estimation. In: Haeb-Umbach R, Kolossa D, eds. Robust Speech Recognition of Uncertain or Missing Data. Springer; 2011.

Haeb-Umbach R. Können Computer sprechen und hören, sollen sie es überhaupt können? Sprachverarbeitung und ambiente Intelligenz. In: Baustelle Informationsgesellschaft Und Universität Heute. Ferdinand Schoeningh Verlag, Paderborn; 2011.

Herbig T, Gerl F, Minker W, Haeb-Umbach R. Adaptive Systems for Unsupervised Speaker Tracking and Speech Recognition. Evolving Systems. 2011;2(3):199-214.

Krueger A, Haeb-Umbach R. A Model-Based Approach to Joint Compensation of Noise and Reverberation for Speech Recognition. In: Haeb-Umbach R, Kolossa D, eds. Robust Speech Recognition of Uncertain or Missing Data. Springer; 2011.

Krueger A, Haeb-Umbach R. MAP-based estimation of the parameters of non-stationary Gaussian processes from noisy observations. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2011). ; 2011:3596-3599. doi:10.1109/ICASSP.2011.5946256

Krueger A, Warsitz E, Haeb-Umbach R. Speech Enhancement With a GSC-Like Structure Employing Eigenvector-Based Transfer Function Ratios Estimation. IEEE Transactions on Audio, Speech, and Language Processing. 2011;19(1):206-219. doi:10.1109/TASL.2010.2047324

Leutnant V, Haeb-Umbach R. Conditional Bayesian Estimation Employing a Phase-Sensitive Observation Model for Noise Robust Speech Recognition. In: Haeb-Umbach R, Kolossa D, eds. Robust Speech Recognition of Uncertain or Missing Data. Springer; 2011.

Leutnant V, Krueger A, Haeb-Umbach R. A versatile Gaussian splitting approach to non-linear state estimation and its application to noise-robust ASR. In: Interspeech 2011. ; 2011.

Tran Vu DH, Haeb-Umbach R. On Initial Seed Selection for Frequency Domain Blind Speech Separation. In: Interspeech 2011. ; 2011.

Kolossa D, Haeb-Umbach R, eds. Robust Speech Recognition of Uncertain or Missing Data --- Theory and Applications. Springer; 2011.

Schmalenstroeer J, Bartek M, Haeb-Umbach R. Unsupervised learning of acoustic events using dynamic time warping and hierarchical K-means++ clustering. In: Interspeech 2011. ; 2011.

Schmalenstroeer J, Jacob F, Haeb-Umbach R, Hennecke M, Fink GA. Unsupervised Geometry Calibration of Acoustic Sensor Networks Using Source Correspondences. In: Interspeech 2011. ; 2011.

Schmalenstroeer J, Bartek M, Haeb-Umbach R. Investigations into Features for Robust Classification into Broad Acoustic Categories. In: 37. Deutsche Jahrestagung Fuer Akustik (DAGA 2011). ; 2011.

Bevermeier M, Walter O, Peschke S, Haeb-Umbach R. Barometric height estimation combined with map-matching in a loosely-coupled Kalman-filter. In: 7th Workshop on Positioning Navigation and Communication (WPNC 2010). ; 2010:128-134. doi:10.1109/WPNC.2010.5650745

Krueger A, Haeb-Umbach R. Model-Based Feature Enhancement for Reverberant Speech Recognition. IEEE Transactions on Audio, Speech, and Language Processing. 2010;18(7):1692-1707. doi:10.1109/TASL.2010.2049684

Leutnant V, Haeb-Umbach R. Options for Modelling Temporal Statistical Dependencies in an Acoustic Model for ASR. In: 36. Deutsche Jahrestagung Fuer Akustik (DAGA 2010). ; 2010.

Leutnant V, Haeb-Umbach R. On the Exploitation of Hidden Markov Models and Linear Dynamic Models in a Hybrid Decoder Architecture for Continuous Speech Recognition. In: Interspeech 2010. ; 2010.

Raj B, Wilson KW, Krueger A, Haeb-Umbach R. Ungrounded Independent Non-Negative Factor Analysis. In: Interspeech 2010. ; 2010.

Tran Vu DH, Haeb-Umbach R. An EM Approach to Integrated Multichannel Speech Separation and Noise Suppression. In: International Workshop on Acoustic Echo and Noise Control (IWAENC 2010). ; 2010.

Tran Vu DH, Haeb-Umbach R. Blind speech separation employing directional statistics in an Expectation Maximization framework. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010). ; 2010:241-244. doi:10.1109/ICASSP.2010.5495994

Schmalenstroeer J, Haeb-Umbach R. Online Diarization of Streaming Audio-Visual Data for Smart Environments. IEEE Journal of Selected Topics in Signal Processing. 2010;4(5):845-856. doi:10.1109/JSTSP.2010.2050519

Bevermeier M, Peschke S, Haeb-Umbach R. Robust vehicle localization based on multi-level sensor fusion and online parameter estimation. In: 6th Workshop on Positioning Navigation and Communication (WPNC 2009). ; 2009:235-242. doi:10.1109/WPNC.2009.4907833

Bevermeier M, Peschke S, Haeb-Umbach R. Joint Parameter Estimation and Tracking in a Multi-Stage Kalman Filter for Vehicle Positioning. In: IEEE 69th Vehicular Technology Conference (VTC 2009 Spring). ; 2009:1-5. doi:10.1109/VETECS.2009.5073634

Bevermeier M, Peschke S, Haeb-Umbach R. Eine Plattform fuer Mehrwertdienste im Bereich Logistik - Drahtlose Fahrzeug- und Laderaumueberwachung fuer LKW mit Hilfe einer Maut-On-Board Unit. In: DGON Navigationskonvent 2009. ; 2009.

Krueger A, Haeb-Umbach R. Model based feature enhancement for automatic speech recognition in reverberant environments. In: Interspeech 2009. ; 2009.

Leutnant V, Haeb-Umbach R. On the Estimation and Use of Feature Reliability Information for Noise Robust Speech Recognition. In: International Conference on Acoustics (NAG/DAGA 2009). ; 2009.

Leutnant V, Haeb-Umbach R. An analytic derivation of a phase-sensitive observation model for noise robust speech recognition. In: Interspeech 2009. ; 2009.

Peschke S, Bevermeier M, Haeb-Umbach R. A GPS positioning approach exploiting GSM velocity estimates. In: 6th Workshop on Positioning Navigation and Communication (WPNC 2009). ; 2009:195-202. doi:10.1109/WPNC.2009.4907827

Peschke S, Bevermeier M, Haeb-Umbach R. Verbesserung von GPS-basierter Ortung durch GSM-Geschwindigkeitsschaetzungen. In: DGON Navigationskonvent 2009. ; 2009.

Windmann S, Haeb-Umbach R. Approaches to Iterative Speech Feature Enhancement and Recognition. IEEE Transactions on Audio, Speech, and Language Processing. 2009;17(5):974-984. doi:10.1109/TASL.2009.2014894

Windmann S, Haeb-Umbach R. Parameter Estimation of a State-Space Model of Noise for Robust Speech Recognition. IEEE Transactions on Audio, Speech, and Language Processing. 2009;17(8):1577-1590. doi:10.1109/TASL.2009.2023172

Schmalenstroeer J, Leutnant V, Haeb-Umbach R. Audio-Visual Data Processing for Ambient Communication. In: 1st International Workshop on Distributed Computing in Ambient Environments within 32nd Annual Conference on Artificial Intelligence. ; 2009.

Hennecke M, Ploetz T, Fink GA, Schmalenstroeer J, Haeb-Umbach R. A hierarchical approach to unsupervised shape calibration of microphone array networks. In: IEEE/SP 15th Workshop on Statistical Signal Processing (SSP 2009). ; 2009:257-260. doi:10.1109/SSP.2009.5278589

Schmalenstroeer J, Kelling M, Leutnant V, Haeb-Umbach R. Fusing Audio and Video Information for Online Speaker Diarization. In: Interspeech 2009. ; 2009.