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DOI: 10.1109/ICASSP.2013.6638279

Chinaev, A., Haeb-Umbach, R., Taghia, J., &; Martin, R. (2013). Improved Single-Channel Nonstationary Noise Tracking by an Optimized MAP-based Postprocessor. In 38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013) (pp. 7477–7481).https://doi.org/10.1109/ICASSP.2013.6639116 
LibreCat: /record/11742
DOI: 10.1109/ICASSP.2013.6639116

Enzner, G., Schmid, D., &; Haeb-Umbach, R. (2013). On the Acoustic Channel Identification in Multi-Microphone Systems via Adaptive Blind Signal Enhancement Techniques. In 21th European Signal Processing Conference (EUSIPCO 2013).
LibreCat: /record/11762

Heymann, J., Walter, O., Haeb-Umbach, R., &; Raj, B. (2013). Unsupervised Word Segmentation from Noisy Input. In Automatic Speech Recognition and Understanding Workshop (ASRU 2013).
LibreCat: /record/11815

Hoang, M. K., &; Haeb-Umbach, R. (2013). 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) (pp. 3721–3725).https://doi.org/10.1109/ICASSP.2013.6638353 
LibreCat: /record/11816
DOI: 10.1109/ICASSP.2013.6638353

Kinoshita, K., Delcroix, M., Yoshioka, T., Nakatani, T., Habets, E., Haeb-Umbach, R.,  Raj, B. (2013). 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  (pp. 22–23).
LibreCat: /record/11841

Leutnant, V., Krueger, A., &; Haeb-Umbach, R. (2013). Bayesian Feature Enhancement for Reverberation and Noise Robust Speech Recognition. IEEE Transactions on Audio, Speech, and Language Processing, 21(8), 1640–1652.https://doi.org/10.1109/TASL.2013.2258013 
LibreCat: /record/11862
DOI: 10.1109/TASL.2013.2258013

Tran Vu, D. H., &; Haeb-Umbach, R. (2013). Blind Speech Separation Exploiting Temporal and Spectral Correlations Using Turbo Decoding of 2D-HMMs. In 21th European Signal Processing Conference (EUSIPCO 2013).
LibreCat: /record/11909

Vu, D. H. T., &; Haeb-Umbach, R. (2013). 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) (pp. 863–867).https://doi.org/10.1109/ICASSP.2013.6637771 
LibreCat: /record/11917
DOI: 10.1109/ICASSP.2013.6637771

Walter, O., Haeb-Umbach, R., Chaudhuri, S., &; Raj, B. (2013). Unsupervised Word Discovery from Phonetic Input Using Nested Pitman-Yor Language Modeling. In IEEE International Conference on Robotics and Automation (ICRA 2013).
LibreCat: /record/11921