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9 Publications
2024 | Journal Article | LibreCat-ID: 56221
Rodriguez-Fernandez, A. E., Schäpermeier, L., Hernández, C., Kerschke, P., Trautmann, H., & Schütze, O. (2024). Finding ϵ-Locally Optimal Solutions for Multi-Objective Multimodal Optimization. IEEE Transactions on Evolutionary Computation, 1–1. https://doi.org/10.1109/TEVC.2024.3458855
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2014 | Conference Paper | LibreCat-ID: 11753 | 
Drude, L., Chinaev, A., Tran Vu, D. H., & Haeb-Umbach, R. (2014). 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) (pp. 213–217).
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2014 | Journal Article | LibreCat-ID: 11861
Leutnant, V., Krueger, A., & Haeb-Umbach, R. (2014). 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, 22(1), 95–109. https://doi.org/10.1109/TASLP.2013.2285480
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2013 | Journal Article | LibreCat-ID: 17663
Cohen, R., Nudelman, I., & Polevoy, G. (2013). On the Admission of Dependent Flows in Powerful Sensor Networks. Networking, IEEE/ACM Transactions On, 21(5), 1461–1471. https://doi.org/10.1109/TNET.2012.2227792
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2013 | Journal Article | LibreCat-ID: 11862
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
| DOI
2013 | Conference Paper | LibreCat-ID: 11917
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
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2010 | Journal Article | LibreCat-ID: 11846 |
Krueger, A., & Haeb-Umbach, R. (2010). Model-Based Feature Enhancement for Reverberant Speech Recognition. IEEE Transactions on Audio, Speech, and Language Processing, 18(7), 1692–1707. https://doi.org/10.1109/TASL.2010.2049684
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2009 | Journal Article | LibreCat-ID: 2999
Blömer, J., & Naewe, S. (2009). Sampling methods for shortest vectors, closest vectors and successive minima. Theoretical Computer Science, 410(18), 1648–1665. https://doi.org/10.1016/j.tcs.2008.12.045
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2007 | Conference Paper | LibreCat-ID: 11785 |
Haeb-Umbach, R., & Bevermeier, M. (2007). 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, pp. III-277-III–280). https://doi.org/10.1109/ICASSP.2007.366526
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