Leutnant V, Krueger A, Haeb-Umbach R. A New Observation Model in the Logarithmic Mel Power Spectral Domain for the Automatic Recognition of Noisy Reverberant Speech. IEEE/ACM Transactions on Audio, Speech, and Language Processing. 2014;22(1):95-109. doi:10.1109/TASLP.2013.2285480

Li J, Deng L, Gong Y, Haeb-Umbach R. An Overview of Noise-Robust Automatic Speech Recognition. IEEE Transactions on Audio, Speech and Language Processing. 2014;22(4):745-777. doi:10.1109/TASLP.2014.2304637

Abdelaziz AH, Zeiler S, Kolossa D, Leutnant V, Haeb-Umbach R. GMM-based significance decoding. In: Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference On. ; 2013:6827-6831. doi:10.1109/ICASSP.2013.6638984

Kinoshita K, Delcroix M, Yoshioka T, et al. The reverb challenge: a common evaluation framework for dereverberation and recognition of reverberant speech. In:  IEEE Workshop on Applications of Signal Processing to Audio and Acoustics . ; 2013:22-23.

Leutnant V, Krueger A, Haeb-Umbach R. Bayesian Feature Enhancement for Reverberation and Noise Robust Speech Recognition. IEEE Transactions on Audio, Speech, and Language Processing. 2013;21(8):1640-1652. doi:10.1109/TASL.2013.2258013

Vu DHT, Haeb-Umbach R. 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). ; 2013:863-867. doi:10.1109/ICASSP.2013.6637771

Chinaev A, Krueger A, Tran Vu DH, Haeb-Umbach R. Improved Noise Power Spectral Density Tracking by a MAP-based Postprocessor. In: 37th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2012). ; 2012.

Leutnant V, Krueger A, Haeb-Umbach R. A Statistical Observation Model For Noisy Reverberant Speech Features and its Application to Robust ASR. In: Signal Processing, Communications and Computing (ICSPCC), 2012 IEEE International Conference On. ; 2012.

Krueger A, Warsitz E, Haeb-Umbach R. Speech Enhancement With a GSC-Like Structure Employing Eigenvector-Based Transfer Function Ratios Estimation. IEEE Transactions on Audio, Speech, and Language Processing. 2011;19(1):206-219. doi:10.1109/TASL.2010.2047324

Fischer K, Foth K, Rohlfing K, Wrede B. Mindful tutors: Linguistic choice and action demonstration in speech to infants and a simulated robot. Interaction Studies. 2011;12(1):134-161. doi:10.1075/is.12.1.06fis

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

Tran Vu DH, Haeb-Umbach R. Blind speech separation employing directional statistics in an Expectation Maximization framework. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010). ; 2010:241-244. doi:10.1109/ICASSP.2010.5495994

Schmalenstroeer J, Haeb-Umbach R. Online Diarization of Streaming Audio-Visual Data for Smart Environments. IEEE Journal of Selected Topics in Signal Processing. 2010;4(5):845-856. doi:10.1109/JSTSP.2010.2050519

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

Vollmer A-L, Lohan KS, Fischer K, et al. People modify their tutoring behavior in robot-directed interaction for action learning. In: Development and Learning, 2009. ICDL 2009. IEEE 8th International Conference on Development and Learning. IEEE; 2009:1-6. doi:10.1109/DEVLRN.2009.5175516

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

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

Lohse M, Rohlfing K, Wrede B, Sagerer G. “Try something else!”10.1109/ROBOT.2008.4543743__— When users change their discursive behavior in human-robot interaction. In: ; 2008:3481-3486. doi:10.1109/ROBOT.2008.4543743