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

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

A. Krueger and R. Haeb-Umbach, “Reverberant Speech Recognition,” in Techniques for Noise Robustness in Automatic Speech Recognition, Wiley, 2012.

A. Krueger, O. Walter, V. Leutnant, and R. Haeb-Umbach, “Bayesian Feature Enhancement for ASR of Noisy Reverberant Real-World Data,” in Proc. Interspeech, 2012.

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

V. Leutnant, A. Krueger, and R. Haeb-Umbach, “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.

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

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

F. Jacob, J. Schmalenstroeer, and R. Haeb-Umbach, “Microphone Array Position Self-Calibration from Reverberant Speech Input,” 2012.

O. Walter, J. Schmalenstroeer, A. Engler, and R. Haeb-Umbach, “Smartphone-Based Sensor Fusion for Improved Vehicular Navigation,” 2012.

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

R. Haeb-Umbach, “Uncertainty Decoding and Conditional Bayesian Estimation,” in Robust Speech Recognition of Uncertain or Missing Data, R. Haeb-Umbach and D. Kolossa, Eds. Springer, 2011.

R. Haeb-Umbach, “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.

T. Herbig, F. Gerl, W. Minker, and R. Haeb-Umbach, “Adaptive Systems for Unsupervised Speaker Tracking and Speech Recognition,” Evolving Systems, vol. 2, no. 3, pp. 199–214, 2011.

A. Krueger and R. Haeb-Umbach, “A Model-Based Approach to Joint Compensation of Noise and Reverberation for Speech Recognition,” in Robust Speech Recognition of Uncertain or Missing Data, R. Haeb-Umbach and D. Kolossa, Eds. Springer, 2011.

A. Krueger and R. Haeb-Umbach, “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, pp. 3596–3599.

A. Krueger, E. Warsitz, and R. Haeb-Umbach, “Speech Enhancement With a GSC-Like Structure Employing Eigenvector-Based Transfer Function Ratios Estimation,” IEEE Transactions on Audio, Speech, and Language Processing, vol. 19, no. 1, pp. 206–219, 2011.

V. Leutnant and R. Haeb-Umbach, “Conditional Bayesian Estimation Employing a Phase-Sensitive Observation Model for Noise Robust Speech Recognition,” in Robust Speech Recognition of Uncertain or Missing Data, R. Haeb-Umbach and D. Kolossa, Eds. Springer, 2011.

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

D. H. Tran Vu and R. Haeb-Umbach, “On Initial Seed Selection for Frequency Domain Blind Speech Separation,” in Interspeech 2011, 2011.