DocumentCode
1682220
Title
Modelling durations in hidden Markov models with application to word spotting
Author
du Preez, J.A.
Author_Institution
Dept. of Electr. & Electron. Eng., Stellenbosch Univ., South Africa
fYear
1991
fDate
8/30/1991 12:00:00 AM
Firstpage
1
Lastpage
5
Abstract
The conventional hidden Markov model models speech fairly well with the exception of parameters that are segment-based rather than frame-based. Duration of different acoustic segments, e.g. phonemes, falls into this category. Methods are described which solve this problem. For computational purposes sub-optimal methods are often used. This paper also deals with an improvement to such an algorithm that is in current use. Some results utilizing this algorithm are given
Keywords
Markov processes; speech recognition; HMM; algorithm; duration modelling; hidden Markov model; phonemes; speech recognition; sub-optimal methods; word spotting; Acoustical engineering; Automatic speech recognition; Feature extraction; Hidden Markov models; Joining processes; Probability density function; Speech recognition; Vocabulary;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications and Signal Processing, 1991. COMSIG 1991 Proceedings., South African Symposium on
Conference_Location
Pretoria
Print_ISBN
0-7803-0040-8
Type
conf
DOI
10.1109/COMSIG.1991.278213
Filename
278213
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