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27 Publications
2017 | Conference Paper | LibreCat-ID: 10676
Ho, N., Kaufmann, P., & Platzner, M. (2017). Evolvable caches: Optimization of reconfigurable cache mappings for a LEON3/Linux-based multi-core processor. In 2017 International Conference on Field Programmable Technology (ICFPT) (pp. 215–218). https://doi.org/10.1109/FPT.2017.8280144
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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: 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: 11816 |
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
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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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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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2001 | Journal Article | LibreCat-ID: 11778 |
Haeb-Umbach, R. (2001). Automatic generation of phonetic regression class trees for MLLR adaptation. IEEE Transactions on Speech and Audio Processing, 9(3), 299–302. https://doi.org/10.1109/89.906003
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