Windmann S, Haeb-Umbach R. Approaches to Iterative Speech Feature Enhancement and Recognition. IEEE Transactions on Audio, Speech, and Language Processing. 2009;17(5):974-984. doi:10.1109/TASL.2009.2014894

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

Schmalenstroeer J, Leutnant V, Haeb-Umbach R. Audio-Visual Data Processing for Ambient Communication. In: 1st International Workshop on Distributed Computing in Ambient Environments within 32nd Annual Conference on Artificial Intelligence. ; 2009.

Hennecke M, Ploetz T, Fink GA, Schmalenstroeer J, Haeb-Umbach R. A hierarchical approach to unsupervised shape calibration of microphone array networks. In: IEEE/SP 15th Workshop on Statistical Signal Processing (SSP 2009). ; 2009:257-260. doi:10.1109/SSP.2009.5278589

Schmalenstroeer J, Kelling M, Leutnant V, Haeb-Umbach R. Fusing Audio and Video Information for Online Speaker Diarization. In: Interspeech 2009. ; 2009.

Haeb-Umbach R. Uncertainty Decoding in Automatic Speech Recognition. 2008 ITG Conference on Voice Communication (SprachKommunikation). 2008:1-7.

Haeb-Umbach R, Ion V. Error Concealement. In: Lindenberg B, Tan Z-H, eds. Automatic Speech Recognition on Mobile Devices and over Communication Networks. Vol Advances in Computer Vision and Pattern Recognition. Advances in Pattern Recognition. Springer; 2008:187-210.

Ion V, Haeb-Umbach R. A Novel Uncertainty Decoding Rule With Applications to Transmission Error Robust Speech Recognition. IEEE Transactions on Audio, Speech, and Language Processing. 2008;16(5):1047-1060. doi:10.1109/TASL.2008.925879

Ion V, Haeb-Umbach R. Investigations into Uncertainty Decoding Employing a Discrete Feature Space for Noise Robust Automatic Speech Recognition. 2008 ITG Conference on Voice Communication (SprachKommunikation). 2008:1-4.

Krueger A, Warsitz E, Haeb-Umbach R. Blinde Akustische Strahlformung fuer Anwendungen im KFZ. In: 34. Deutsche Jahrestagung Fuer Akustik (DAGA 2008). ; 2008.

Tran Vu DH, Haeb-Umbach R. Blind Speech Separation in Presence of Correlated Noise with Generalized Eigenvector Beamforming. 2008 ITG Conference on Voice Communication (SprachKommunikation). 2008:1-4.

Tran Vu DH, Krueger A, Haeb-Umbach R. Generalized Eigenvector Blind Speech Separation Under Coherent Noise In A GSC Configuration. In: International Workshop on Acoustic Echo and Noise Control (IWAENC 2008). ; 2008.

Warsitz E, Krueger A, Haeb-Umbach R. 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). ; 2008:73-76. doi:10.1109/ICASSP.2008.4517549

Windmann S, Haeb-Umbach R. Modeling the dynamics of speech and noise for speech feature enhancement in ASR. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2008). ; 2008:4409-4412. doi:10.1109/ICASSP.2008.4518633

Windmann S, Haeb-Umbach R. A novel approach to noise estimation in model-based speech feature enhancement. 2008 ITG Conference on Voice Communication (SprachKommunikation). 2008:1-4.

Windmann S, Haeb-Umbach R, Leutnant V. A segmental HMM based on a modified emission probability. 2008 ITG Conference on Voice Communication (SprachKommunikation). 2008:1-4.

Bevermeier M, Ebel T, Haeb-Umbach R. Channel Estimation by Exploiting Sublayer Information in OFDM Systems. In: Multi-Carrier Spread Spectrum 2007. ; 2007.

Bevermeier M, Haeb-Umbach R. Combined Time and Frequency Domain OFDM Channel Estimation. In: Multi-Carrier Spread Spectrum 2007. ; 2007.

Haeb-Umbach R, Bevermeier M. 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. ; 2007:III-277-III-280. doi:10.1109/ICASSP.2007.366526

Haeb-Umbach R, Peschke S. A Novel Similarity Measure for Positioning Cellular Phones by a Comparison With a Database of Signal Power Levels. IEEE Transactions on Vehicular Technology. 2007;56(1):368-372. doi:10.1109/TVT.2006.889563