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A CART approach for Duration Modeling of Greek Phonemes

This paper describes the construction and evaluation of a segmental duration prediction model for Greek language with the application of CART (Classification and Regression Tree) machine learning approach. A ToBI annotated prosodic speech corpus was utilized for the construction of training and testing sets. Our phoneme category was composed of 34 phonemes distributed in 32.072 instances (in 5.500 words). Results showed the effectiveness of CART for the building of duration models for Greek language.