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

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

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

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

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

Leutnant, V., Krueger, A., &; Haeb-Umbach, R. (2012). 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.

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

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

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

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

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

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

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

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

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

Krueger, A., &; Haeb-Umbach, R. (2011). 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) (pp. 3596–3599).https://doi.org/10.1109/ICASSP.2011.5946256 

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

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

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

Tran Vu, D. H., &; Haeb-Umbach, R. (2011). On Initial Seed Selection for Frequency Domain Blind Speech Separation. In Interspeech 2011.