An Overview of Noise-Robust Automatic Speech Recognition
J. Li, L. Deng, Y. Gong, R. Haeb-Umbach, IEEE Transactions on Audio, Speech and Language Processing 22 (2014) 745–777.
LibreCat: /record/11867
DOI: 10.1109/TASLP.2014.2304637

Parameter estimation and classification of censored Gaussian data with application to WiFi indoor positioning
M.K. Hoang, R. Haeb-Umbach, in: 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), 2013, pp. 3721–3725.
LibreCat: /record/11816
DOI: 10.1109/ICASSP.2013.6638353

Parameter Estimation of a State-Space Model of Noise for Robust Speech Recognition
S. Windmann, R. Haeb-Umbach, IEEE Transactions on Audio, Speech, and Language Processing 17 (2009) 1577–1590.
LibreCat: /record/11938
DOI: 10.1109/TASL.2009.2023172

Iterative Speech Enhancement using a Non-Linear Dynamic State Model of Speech and its Parameters
S. Windmann, R. Haeb-Umbach, in: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006), 2006, p. I.
LibreCat: /record/11943
DOI: 10.1109/ICASSP.2006.1660058

Automatic generation of phonetic regression class trees for MLLR adaptation
R. Haeb-Umbach, IEEE Transactions on Speech and Audio Processing 9 (2001) 299–302.
LibreCat: /record/11778
DOI: 10.1109/89.906003