DocumentCode
2996448
Title
Explicit modelling of state occupancy in hidden Markov models for automatic speech recognition
Author
Russell, N.J. ; Moore, R.K.
Author_Institution
Royal Signals and Radar establishment, Malvern, Worcs, UK
Volume
10
fYear
1985
fDate
26-29 April 1985
Firstpage
5
Lastpage
8
Abstract
Semi-Markov models have been proposed as a mechanism for overcoming some of the limitations inherent in first-order Markov modelling of speech signals. Results have been presented which show that these models provide an appropriate framework for modelling durational structure and can lead to significant improvements in recognition accuracy.
Keywords
Automatic speech recognition; Covariance matrix; Dynamic programming; Hidden Markov models; Markov processes; Mathematical model; Probability; Radar; Speech recognition; Statistical analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '85.
Conference_Location
Tampa, FL, USA
Type
conf
DOI
10.1109/ICASSP.1985.1168477
Filename
1168477
Link To Document