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8 Publications
2014 | Conference Paper | LibreCat-ID: 11753 | 
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.
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2014 | Journal Article | LibreCat-ID: 11861
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
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2013 | Journal Article | LibreCat-ID: 17663
Cohen R, Nudelman I, Polevoy G. On the Admission of Dependent Flows in Powerful Sensor Networks. Networking, IEEE/ACM Transactions on. 2013;21(5):1461-1471. doi:10.1109/TNET.2012.2227792
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2013 | Journal Article | LibreCat-ID: 11862
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
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2013 | Conference Paper | LibreCat-ID: 11917
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
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2010 | Journal Article | LibreCat-ID: 11846 |
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
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2009 | Journal Article | LibreCat-ID: 2999
Blömer J, Naewe S. Sampling methods for shortest vectors, closest vectors and successive minima. Theoretical Computer Science. 2009;(18):1648-1665. doi:10.1016/j.tcs.2008.12.045
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2007 | Conference Paper | LibreCat-ID: 11785 |
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
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