Model-Based Feature Enhancement for Reverberant Speech Recognition
A. Krueger, R. Haeb-Umbach, IEEE Transactions on Audio, Speech, and Language Processing 18 (2010) 1692–1707.

Blind speech separation employing directional statistics in an Expectation Maximization framework
D.H. Tran Vu, R. Haeb-Umbach, in: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010), 2010, pp. 241–244.

Online Diarization of Streaming Audio-Visual Data for Smart Environments
J. Schmalenstroeer, R. Haeb-Umbach, IEEE Journal of Selected Topics in Signal Processing 4 (2010) 845–856.

Approaches to Iterative Speech Feature Enhancement and Recognition
S. Windmann, R. Haeb-Umbach, IEEE Transactions on Audio, Speech, and Language Processing 17 (2009) 974–984.

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.

People modify their tutoring behavior in robot-directed interaction for action learning
A.-L. Vollmer, K.S. Lohan, K. Fischer, Y. Nagai, K. Pitsch, J. Fritsch, K. Rohlfing, B. Wrede, in: Development and Learning, 2009. ICDL 2009. IEEE 8th International Conference on Development and Learning, IEEE, 2009, pp. 1–6.

A Novel Uncertainty Decoding Rule With Applications to Transmission Error Robust Speech Recognition
V. Ion, R. Haeb-Umbach, IEEE Transactions on Audio, Speech, and Language Processing 16 (2008) 1047–1060.

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

Modeling the dynamics of speech and noise for speech feature enhancement in ASR
S. Windmann, R. Haeb-Umbach, in: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2008), 2008, pp. 4409–4412.

cTry something else!d 4 When users change their discursive behavior in human-robot interaction
M. Lohse, K. Rohlfing, B. Wrede, G. Sagerer, in: 2008, pp. 3481–3486.

An Inexpensive Packet Loss Compensation Scheme for Distributed Speech Recognition Based on Soft-Features
V. Ion, R. Haeb-Umbach, in: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006), 2006, p. I.

Uncertainty decoding for distributed speech recognition over error-prone networks
V. Ion, R. Haeb-Umbach, Speech Communication 48 (2006) 1435–1446.

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.

A Comparison of Soft-Feature Distributed Speech Recognition with Candidate Codecs for Speech Enabled Mobile Services
V. Ion, R. Haeb-Umbach, in: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2005), 2005, pp. 333–336.

Robust speaker direction estimation with particle filtering
E. Warsitz, R. Haeb-Umbach, in: IEEE Workshop on Multimedia Signal Processing (MMSP 2004), 2004, pp. 367–370.

Interactive Multimodal User Interfaces for Mobile Devices
W. Müller, R. Schäfer, S. Bleul, in: Proceedings of HICCS-37, Waikoloa, HI, USA, 2004.

Automatic generation of phonetic regression class trees for MLLR adaptation
R. Haeb-Umbach, IEEE Transactions on Speech and Audio Processing 9 (2001) 299–302.

Hardware/Software Codesign in Speech Compression Applications
C. Plessl, S. Maurer, Hardware/Software Codesign in Speech Compression Applications, Computer Engineering and Networks Lab, ETH Zurich, Switzerland, 2000.

LDA derived cepstral trajectory filters in adverse environmental conditions
M. Lieb, R. Haeb-Umbach, in: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2000), 2000, pp. - vol.2.