Stochastic Modeling: From Pattern Classification to Speech Recognition and Translation

Barcelona, Spain September 03-September 08

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http://doi.ieeecomputersociety.org/10.1109/ICPR.2000.903478

15th International Conference on Patt ...

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	Hermann Ney, "Stochastic Modeling: From Pattern Classification to Speech Recognition and Translation," Pattern Recognition, International Conference on, vol. 3, pp. 3025, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 3, 2000.

	BibTex	x
	@article{ 10.1109/ICPR.2000.903478, author = {Hermann Ney}, title = {Stochastic Modeling: From Pattern Classification to Speech Recognition and Translation}, journal ={Pattern Recognition, International Conference on}, volume = {3}, year = {2000}, isbn = {0-7695-0750-6}, pages = {3025}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2000.903478}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Pattern Recognition, International Conference on TI - Stochastic Modeling: From Pattern Classification to Speech Recognition and Translation SN - 0-7695-0750-6 SP EP A1 - Hermann Ney, PY - 2000 VL - 3 JA - Pattern Recognition, International Conference on ER -

Hermann Ney, RWTH Aachen - University of Technology

This paper gives an overview of the stochastic modeling approach in automatic speech recognition and language translation. Starting from the Bayes decision rule for minimum error rate, we present the stochastic modeling approach to speech recognition and analyze its characteristic properties. We discuss the advantages of stochastic modeling and extend it to the translation of written language.

Citation:

Hermann Ney, "Stochastic Modeling: From Pattern Classification to Speech Recognition and Translation," icpr, vol. 3, pp.3025, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 3, 2000

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