Stochastic Modeling: From Pattern Classification to Speech Recognition and Translation

I
ICPR
2000
15th International Conference on Pattern Recognition (ICPR'00) - Volume 3
Abstract - Stochastic Modeling: From Pattern Classification to Speech Recognition and Translation

	This Article
	Subscribers, please Login Purchase article: $19 PDF IEEE Xplore Subscribers RSS feed
	Share
	Email this Article to a friend
	Bibliographic References
	ASCII Text BibTex RefWorks Procite/RefMan
	Add to:
	Digg Furl Spurl Blink Simpy Google Del.icio.us Y!MyWeb
	Search
	Similar Articles Articles by Hermann Ney

15th International Conference on Pattern Recognition (ICPR'00) - Volume 3

Barcelona, Spain

September 03-September 08

ISBN: 0-7695-0750-6

	ASCII Text	x
	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

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

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

Peer Review Notice | Give Us Feedback

Usage of this product signifies your acceptance of the Terms of Use.