Chinaev, A., &; Haeb-Umbach, R. (2013). 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) (pp. 3352–3356).https://doi.org/10.1109/ICASSP.2013.6638279 

Hoang, M. K., &; Haeb-Umbach, R. (2013). 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) (pp. 3721–3725).https://doi.org/10.1109/ICASSP.2013.6638353 

Vu, D. H. T., &; Haeb-Umbach, R. (2013). 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) (pp. 863–867).https://doi.org/10.1109/ICASSP.2013.6637771 

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. (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 

Kenter, T., Platzner, M., Plessl, C., &; Kauschke, M. (2011). Performance Estimation Framework for Automated Exploration of CPU-Accelerator Architectures. Proc. Int. Symp. on Field-Programmable Gate Arrays (FPGA), 177–180.https://doi.org/10.1145/1950413.1950448 

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

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

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

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

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

Warsitz, E., Krueger, A., &; Haeb-Umbach, R. (2008). Speech enhancement with a new generalized eigenvector blocking matrix for application in a generalized sidelobe canceller. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2008) (pp. 73–76).https://doi.org/10.1109/ICASSP.2008.4517549 

Haeb-Umbach, R., &; Bevermeier, M. (2007). OFDM Channel Estimation Based on Combined Estimation in Time and Frequency Domain. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2007) (Vol. 3, pp. III-277-III–280).https://doi.org/10.1109/ICASSP.2007.366526 

Peschke, S., &; Haeb-Umbach, R. (2007). Velocity Estimation of Mobile Terminals by Exploiting GSM Downlink Signalling. In 4th Workshop on Positioning Navigation and Communication (WPNC 2007) (pp. 217–222).https://doi.org/10.1109/WPNC.2007.353637 

Warsitz, E., &; Haeb-Umbach, R. (2007). Blind Acoustic Beamforming Based on Generalized Eigenvalue Decomposition. IEEE Transactions on Audio, Speech, and Language Processing, 15(5), 1529–1539.https://doi.org/10.1109/TASL.2007.898454 

Ion, V., &; Haeb-Umbach, R. (2006). An Inexpensive Packet Loss Compensation Scheme for Distributed Speech Recognition Based on Soft-Features. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006) (Vol. 1, p. I).https://doi.org/10.1109/ICASSP.2006.1659984 

Warsitz, E., &; Haeb-Umbach, R. (2005). Acoustic filter-and-sum beamforming by adaptive principal component analysis. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2005) (Vol. 4, p. iv/797-iv/800 Vol. 4).https://doi.org/10.1109/ICASSP.2005.1416129 

Warsitz, E., &; Haeb-Umbach, R. (2004). Robust speaker direction estimation with particle filtering. In IEEE Workshop on Multimedia Signal Processing (MMSP 2004) (pp. 367–370).https://doi.org/10.1109/MMSP.2004.1436569 

Haeb-Umbach, R. (2001). Automatic generation of phonetic regression class trees for MLLR adaptation. IEEE Transactions on Speech and Audio Processing, 9(3), 299–302.https://doi.org/10.1109/89.906003