Title :
Modelling durations in hidden Markov models with application to word spotting
Author_Institution :
Dept. of Electr. & Electron. Eng., Stellenbosch Univ., South Africa
fDate :
8/30/1991 12:00:00 AM
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;
Conference_Titel :
Communications and Signal Processing, 1991. COMSIG 1991 Proceedings., South African Symposium on
Conference_Location :
Pretoria
Print_ISBN :
0-7803-0040-8
DOI :
10.1109/COMSIG.1991.278213