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- W1972840785 abstract "On-line quasi-Bayes adaptation of the mixture coefficients and mean vectors in semicontinuous hidden Markov model (SCHMM) is studied. The viability of the proposed algorithm is confirmed and the related practical issues are addressed in a specific application of on-line speaker adaptation using a 26-word English alphabet vocabulary." @default.
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- W1972840785 date "1996-03-01" @default.
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- W1972840785 title "On-line adaptation of the SCHMM parameters based on the segmental quasi-Bayes learning for speech recognition" @default.
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- W1972840785 doi "https://doi.org/10.1109/89.486065" @default.
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