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5 Publications


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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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
LibreCat | DOI
 

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
 

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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2001 | Journal Article | LibreCat-ID: 11870
Loog, M., Duin, R. P. W., & Haeb-Umbach, R. (2001). Multiclass linear dimension reduction by weighted pairwise Fisher criteria. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(7), 762–766. https://doi.org/10.1109/34.935849
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