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Publications related to ESMERALDA

Concepts

Most important concepts realized in the ESMERALDA-system are described in the following publications:

Developing Pattern Recognition Systems Based on Markov Models: The ESMERALDA Framework.

G. A. Fink, T. Plötz.
Pattern Recognition and Image Analysis, 18(2), pages 207-215, June 2008.

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Developing HMM-based recognizers with ESMERALDA.

G. A. Fink.
In V. Matousek, P. Mautner, J. Ocelíková, and P. Sojka, editors, Lecture Notes in Artificial Intelligence, volume 1692, pp. 229-234, Berlin Heidelberg, 1999. Springer.

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Integration of parsing and incremental speech recognition.

S. Wachsmuth, G. A. Fink, and G. Sagerer.
In Proceedings of the European Signal Processing Conference, volume 1, pp. 371-375, Rhodes, Sep. 1998.

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Incremental speech recognition for multimodal interfaces.

G. A. Fink, C. Schillo, F. Kummert, and G. Sagerer.
In Proceedings 24th Annual Conference of the IEEE Industrial Electronics Society, pp. 2012-2017, Aachen, Sep. 1998.

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Time-synchronous search with higher order n-gram models. (In German)

G. A. Fink and G. Sagerer.
In Konvens 2000 / Sprachkommunikation, ITG-Fachbericht 161, pp. 145-150, Berlin, 2000. VDE Verlag.

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Robust time-synchronous environmental adaptation for continuous speech recognition systems.

T. Plötz and G. A. Fink.
In International Conference on Spoken Language Processing, volume 2, pp. 1409-1412, Denver, 2002.

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Details

Details about more specialized features of ESMERALDA can be found in:

Dynamic search-space pruning for time-constrained speech recognition.

S. Wendt, G. A. Fink, and F. Kummert.
In International Conference on Spoken Language Processing, volume 1, pp. 377-380, Denver, 2002.

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Integrating speaker identification and learning with adaptive speech recognition.

G. A. Fink and T. Plötz.
In 2004: A Speaker Odyssey - The Speaker and Language Recognition Workshop, pp. 185-192, Toledo, 2004.

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An Efficient Method for Making Un-Supervised Adaptation of HMM-based Speech Recognition Systems Robust Against Out-Of-Domain Data

T. Plötz and G. A. Fink
In Proc. 4th Int. Workshop on Natural Language Processing and Cognitive Science, 2007, to appear

Applications

The following publications describe the most important research activities carried out based on ESMERALDA:

Speech Recognition

BIRON - The Bielefeld Robot Companion.

A. Haasch, S. Hohenner, S. Höwel, M. Kleinehagenbrock, S. Lang, I. Toptsis, G. A. Fink, J. Fritsch, B. Wrede, and G. Sagerer.
In E. Prassler, G. Lawitzky, P. Fiorini, and M. Hägele, editors, Proc. Int. Workshop on Advances in Service Robotics, pp. 27-32, Stuttgart, Germany, May 2004. Fraunhofer IRB Verlag.

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Combining acoustic and articulatory information for robust speech recognition.

K. Kirchhoff, G. A. Fink, and G. Sagerer.
Speech Communication, 37(3-4):303-319, 2002.

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Handwriting Recognition

Toward automatic video-based whiteboard reading.

M. Wienecke, G. A. Fink, and G. Sagerer.
Int. Journal on Document Analysis and Recognition, 7(2-3):188-200, 2005.

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Biological Sequence Analysis

Pattern recognition methods for advanced stochastic protein sequence analysis using HMMs.

T. Plötz and G. A. Fink.
Pattern Recognition, Special Issue on Bioinformatics, 2006, Vol. 39, pp. 2267-2280

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Robust remote homology detection by feature based Profile Hidden Markov Models.

T. Plötz and G. A. Fink.
Statistical Applications in Genetics and Molecular Biology, 4(1), 2005.

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General Pattern Recognition Applications

Automatic Detection of Song Changes in Music Mixes Using Stochastic Models.

T. Plötz, G. A. Fink, P. Husemann, S. Kanies, K. Lienemann, T. Marschall, M. Martin, L. Schillingmann, M. Steinrücken, and H. Sudek.
In Proc. Int. Conf. on Pattern Recognition. IEEE, 2006e, Vol. 3, pp 665-668

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Contact

Prof. Dr.-Ing. Gernot A. Fink
Head of Research Group
Tel.: 0231 755-6151
gernot.fink(at)udo.edu