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- W806680641 abstract "In this paper, we discuss the method of recognizing allophone unit isolated words using hidden Markov model(HMM). Frist we constructed allophone lexicon by extracting allophones from training data and by training allophone HMMs. And then to recognize isolated words using allophone HMMs, it is necessary to construct word dictionary which contains information of allophone sequence and inter-allophone transition probability. Allophone sequences are represented by allophone HMMs. To see the effects of inter-allophone transition probability and to determine optimal probabilities, we performend some experiments. And we showed that small number of traing data and simple train procedure is needed to train word HMMs of allophone sequences and that not less performance than word unit HMM is obtained." @default.
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- W806680641 date "1991-01-01" @default.
- W806680641 modified "2023-09-28" @default.
- W806680641 title "Isolated Word Recognition Using Allophone Unit Hidden Markov Model" @default.
- W806680641 hasPublicationYear "1991" @default.
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