Modelling intonational structure using hidden markov models.
Taylor, Paul A
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A method is introduced for using hidden Markov models (HMMs) to model intonational structure. HMMs are probabilistic and can capture the variability in structure which previous finite state network models lack. We show how intonational tunes can be modelled by separate HMMs and how HMMs can be used in a recognition system to automatically determine the tune type of an utterance.