DocumentCode
791955
Title
On the first order equalization of hidden Markov models
Author
Demirekler, Mübeccel
Author_Institution
Dept. of Electr. & Electron. Eng., Middle East Tech. Univ., Ankara, Turkey
Volume
43
Issue
6
fYear
1995
fDate
6/1/1995 12:00:00 AM
Firstpage
1522
Lastpage
1524
Abstract
The article exploits some properties of the “first order equalization” technique, used to increase the recognition performance of speech. It shows that if the eigenvalues of the covariance matrix of observations are restricted, then a solution exists for this problem, although it may not be unique,
Keywords
Gaussian distribution; Gaussian processes; covariance matrices; eigenvalues and eigenfunctions; hidden Markov models; speech recognition; Gaussian distribution; covariance matrix; eigenvalues; first order equalization; hidden Markov models; observations; solution; speech recognition performance; Brain modeling; Electroencephalography; Frequency estimation; Hidden Markov models; Least squares approximation; Parameter estimation; Signal processing; Signal processing algorithms; Speech processing; Speech recognition;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.388869
Filename
388869
Link To Document