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20 Publications
2021 | Journal Article | LibreCat-ID: 29204
Kress, C., Bahmanian, M., Schwabe, T., & Scheytt, J. C. (2021). Analysis of the effects of jitter, relative intensity noise, and nonlinearity on a photonic digital-to-analog converter based on optical Nyquist pulse synthesis. Opt. Express, 29(15), 23671–23681. https://doi.org/10.1364/OE.427424
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2015 | Conference Paper | LibreCat-ID: 11739 | 
Chinaev, A., & Haeb-Umbach, R. (2015). On Optimal Smoothing in Minimum Statistics Based Noise Tracking. In Interspeech 2015 (pp. 1785–1789).
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2015 | Conference Paper | LibreCat-ID: 11813 |
Heymann, J., Haeb-Umbach, R., Golik, P., & Schlueter, R. (2015). Unsupervised adaptation of a denoising autoencoder by Bayesian Feature Enhancement for reverberant asr under mismatch conditions. In Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on (pp. 5053–5057). https://doi.org/10.1109/ICASSP.2015.7178933
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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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2014 | Journal Article | LibreCat-ID: 11867 |
Li, J., Deng, L., Gong, Y., & Haeb-Umbach, R. (2014). An Overview of Noise-Robust Automatic Speech Recognition. IEEE Transactions on Audio, Speech and Language Processing, 22(4), 745–777. https://doi.org/10.1109/TASLP.2014.2304637
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2013 | Conference Paper | LibreCat-ID: 11716
Abdelaziz, A. H., Zeiler, S., Kolossa, D., Leutnant, V., & Haeb-Umbach, R. (2013). GMM-based significance decoding. In Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on (pp. 6827–6831). https://doi.org/10.1109/ICASSP.2013.6638984
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2013 | Conference Paper | LibreCat-ID: 11740 |
Chinaev, A., & Haeb-Umbach, R. (2013). 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) (pp. 3352–3356). https://doi.org/10.1109/ICASSP.2013.6638279
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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
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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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2012 | Conference Paper | LibreCat-ID: 11745 |
Chinaev, A., Krueger, A., Tran Vu, D. H., & Haeb-Umbach, R. (2012). Improved Noise Power Spectral Density Tracking by a MAP-based Postprocessor. In 37th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2012).
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2011 | Journal Article | LibreCat-ID: 11850 |
Krueger, A., Warsitz, E., & Haeb-Umbach, R. (2011). Speech Enhancement With a GSC-Like Structure Employing Eigenvector-Based Transfer Function Ratios Estimation. IEEE Transactions on Audio, Speech, and Language Processing, 19(1), 206–219. https://doi.org/10.1109/TASL.2010.2047324
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2010 | Conference Paper | LibreCat-ID: 11913 |
Tran Vu, D. H., & Haeb-Umbach, R. (2010). Blind speech separation employing directional statistics in an Expectation Maximization framework. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010) (pp. 241–244). https://doi.org/10.1109/ICASSP.2010.5495994
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2009 | Conference Paper | LibreCat-ID: 11723 |
Bevermeier, M., Peschke, S., & Haeb-Umbach, R. (2009). Robust vehicle localization based on multi-level sensor fusion and online parameter estimation. In 6th Workshop on Positioning Navigation and Communication (WPNC 2009) (pp. 235–242). https://doi.org/10.1109/WPNC.2009.4907833
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2009 | Journal Article | LibreCat-ID: 11938 |
Windmann, S., & Haeb-Umbach, R. (2009). Parameter Estimation of a State-Space Model of Noise for Robust Speech Recognition. IEEE Transactions on Audio, Speech, and Language Processing, 17(8), 1577–1590. https://doi.org/10.1109/TASL.2009.2023172
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2008 | Conference Paper | LibreCat-ID: 11935 |
Warsitz, E., Krueger, A., & Haeb-Umbach, R. (2008). Speech enhancement with a new generalized eigenvector blocking matrix for application in a generalized sidelobe canceller. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2008) (pp. 73–76). https://doi.org/10.1109/ICASSP.2008.4517549
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2008 | Conference Paper | LibreCat-ID: 11939 |
Windmann, S., & Haeb-Umbach, R. (2008). Modeling the dynamics of speech and noise for speech feature enhancement in ASR. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2008) (pp. 4409–4412). https://doi.org/10.1109/ICASSP.2008.4518633
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2007 | Conference Paper | LibreCat-ID: 11883 |
Peschke, S., & Haeb-Umbach, R. (2007). Velocity Estimation of Mobile Terminals by Exploiting GSM Downlink Signalling. In 4th Workshop on Positioning Navigation and Communication (WPNC 2007) (pp. 217–222). https://doi.org/10.1109/WPNC.2007.353637
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2007 | Journal Article | LibreCat-ID: 11927 |
Warsitz, E., & Haeb-Umbach, R. (2007). Blind Acoustic Beamforming Based on Generalized Eigenvalue Decomposition. IEEE Transactions on Audio, Speech, and Language Processing, 15(5), 1529–1539. https://doi.org/10.1109/TASL.2007.898454
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2006 | Conference Paper | LibreCat-ID: 9535
Genzo, A., & Sextro, W. (2006). Dynamic Behaviour of Elastic Bodies Coupled by Extended Friction Contacts. In Proceedings of ISMA - International conference on noise and vibration engineering (pp. 51–52).
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2006 | Conference Paper | LibreCat-ID: 11943 |
Windmann, S., & Haeb-Umbach, R. (2006). Iterative Speech Enhancement using a Non-Linear Dynamic State Model of Speech and its Parameters. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006) (Vol. 1, p. I). https://doi.org/10.1109/ICASSP.2006.1660058
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