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 
LibreCat: /record/11740
DOI: 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 
LibreCat: /record/11816
DOI: 10.1109/ICASSP.2013.6638353

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 
LibreCat: /record/11845
DOI: 10.1109/ICASSP.2011.5946256

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 
LibreCat: /record/11846
DOI: 10.1109/TASL.2010.2049684

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 
LibreCat: /record/11785
DOI: 10.1109/ICASSP.2007.366526

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 
LibreCat: /record/11824
DOI: 10.1109/ICASSP.2006.1659984

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 
LibreCat: /record/11778
DOI: 10.1109/89.906003