Walter O, Haeb-Umbach R, Strunk J, P. Himmelmann N. Lexicon Discovery for Language Preservation Using Unsupervised Word Segmentation with Pitman-Yor Language Models (FGNT-2015-01).; 2015.

Hoang MK, Schmalenstroeer J, Haeb-Umbach R. Aligning training models with smartphone properties in WiFi fingerprinting based indoor localization. In: 40th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015). ; 2015.

Chinaev A, Puels M, Haeb-Umbach R. Spectral Noise Tracking for Improved Nonstationary Noise Robust ASR. In: 11. ITG Fachtagung Sprachkommunikation (ITG 2014). ; 2014.

Drude L, Chinaev A, Tran Vu DH, Haeb-Umbach R. Source Counting in Speech Mixtures Using a Variational EM Approach for Complexwatson Mixture Models. In: 39th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014). ; 2014.

Drude L, Chinaev A, Tran Vu DH, Haeb-Umbach R. Towards Online Source Counting in Speech Mixtures Applying a Variational EM for Complex Watson Mixture Models. In: 14th International Workshop on Acoustic Signal Enhancement (IWAENC 2014). ; 2014:213-217.

Heymann J, Walter O, Haeb-Umbach R, Raj B. Iterative Bayesian Word Segmentation for Unspuervised Vocabulary Discovery from Phoneme Lattices. In: 39th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014). ; 2014.

Jacob F, Haeb-Umbach R. Coordinate Mapping Between an Acoustic and Visual Sensor Network in the Shape Domain for a Joint Self-Calibrating Speaker Tracking. In: 11. ITG Fachtagung Sprachkommunikation (ITG 2014). ; 2014.

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

Walter O, Despotovic V, Haeb-Umbach R, Gemmeke J, Ons B, Van hamme H. An Evaluation of Unsupervised Acoustic Model Training for a Dysarthric Speech Interface. In: INTERSPEECH 2014. ; 2014.

Schmalenstroeer J, Jebramcik P, Haeb-Umbach R. A combined hardware-software approach for acoustic sensor network synchronization . Signal Processing. 2014;(0). doi:http://dx.doi.org/10.1016/j.sigpro.2014.06.030

Schmalenstroeer J, Jebramcik P, Haeb-Umbach R. A Gossiping Approach to Sampling Clock Synchronization in Wireless Acoustic Sensor Networks. In: 39th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014). ; 2014.

Schmalenstroeer J, Zhao W, Haeb-Umbach R. Online Observation Error Model Estimation for Acoustic Sensor Network Synchronization. In: 11. ITG Fachtagung Sprachkommunikation (ITG 2014). ; 2014.

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

Chinaev A, Haeb-Umbach R. 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). ; 2013:3352-3356. doi:10.1109/ICASSP.2013.6638279

Chinaev A, Haeb-Umbach R, Taghia J, Martin R. Improved Single-Channel Nonstationary Noise Tracking by an Optimized MAP-based Postprocessor. In: 38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013). ; 2013:7477-7481. doi:10.1109/ICASSP.2013.6639116

Enzner G, Schmid D, Haeb-Umbach R. On the Acoustic Channel Identification in Multi-Microphone Systems via Adaptive Blind Signal Enhancement Techniques. In: 21th European Signal Processing Conference (EUSIPCO 2013). ; 2013.

Heymann J, Walter O, Haeb-Umbach R, Raj B. Unsupervised Word Segmentation from Noisy Input. In: Automatic Speech Recognition and Understanding Workshop (ASRU 2013). ; 2013.

Hoang MK, Haeb-Umbach R. 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). ; 2013:3721-3725. doi:10.1109/ICASSP.2013.6638353

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.