DocumentCode
1365331
Title
A comparison of constrained trajectory segment models for large vocabulary speech recognition
Author
Kannan, Ashvin ; Ostendorf, Mari
Author_Institution
Nuance Commun., Menlo Park, CA, USA
Volume
6
Issue
3
fYear
1998
fDate
5/1/1998 12:00:00 AM
Firstpage
303
Lastpage
306
Abstract
This paper compares parametric and nonparametric constrained-mean trajectory segment models for large vocabulary speech recognition, extending distribution clustering techniques to handle polynomial mean trajectory models for robust parameter estimation. The parametric model has fewer free parameters and gives similar recognition performance to the nonparametric model, but has higher recognition costs
Keywords
parameter estimation; pattern recognition; speech recognition; constrained trajectory segment models; distribution clustering techniques; large vocabulary speech recognition; nonparametric constrained-mean trajectory; parametric constrained-mean trajectory; polynomial mean trajectory models; recognition costs; recognition performance; robust parameter estimation; Context modeling; Gaussian distribution; Gaussian processes; Hidden Markov models; Parametric statistics; Polynomials; Speech recognition; Stochastic processes; Trajectory; Vocabulary;
fLanguage
English
Journal_Title
Speech and Audio Processing, IEEE Transactions on
Publisher
ieee
ISSN
1063-6676
Type
jour
DOI
10.1109/89.668825
Filename
668825
Link To Document