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8 Publications


2014 | Conference Paper | LibreCat-ID: 11753 | OA
L. Drude, A. Chinaev, D. H. Tran Vu, and R. Haeb-Umbach, “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, pp. 213–217.
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2014 | Journal Article | LibreCat-ID: 11861
V. Leutnant, A. Krueger, and R. Haeb-Umbach, “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, vol. 22, no. 1, pp. 95–109, 2014.
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2013 | Journal Article | LibreCat-ID: 17663
R. Cohen, I. Nudelman, and G. Polevoy, “On the Admission of Dependent Flows in Powerful Sensor Networks,” Networking, IEEE/ACM Transactions on, vol. 21, no. 5, pp. 1461–1471, 2013.
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2013 | Journal Article | LibreCat-ID: 11862
V. Leutnant, A. Krueger, and R. Haeb-Umbach, “Bayesian Feature Enhancement for Reverberation and Noise Robust Speech Recognition,” IEEE Transactions on Audio, Speech, and Language Processing, vol. 21, no. 8, pp. 1640–1652, 2013.
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2013 | Conference Paper | LibreCat-ID: 11917
D. H. T. Vu and R. Haeb-Umbach, “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, pp. 863–867.
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2010 | Journal Article | LibreCat-ID: 11846 | OA
A. Krueger and R. Haeb-Umbach, “Model-Based Feature Enhancement for Reverberant Speech Recognition,” IEEE Transactions on Audio, Speech, and Language Processing, vol. 18, no. 7, pp. 1692–1707, 2010.
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2009 | Journal Article | LibreCat-ID: 2999
J. Blömer and S. Naewe, “Sampling methods for shortest vectors, closest vectors and successive minima,” Theoretical Computer Science, no. 18, pp. 1648–1665, 2009.
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2007 | Conference Paper | LibreCat-ID: 11785 | OA
R. Haeb-Umbach and M. Bevermeier, “OFDM Channel Estimation Based on Combined Estimation in Time and Frequency Domain,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2007), 2007, vol. 3, pp. III-277-III–280.
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