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The quality of the synthesized speech of text-to-speech (TTS) synthesis systems can be improved by controlling the intensities of speech segments in addition to other prosodic features such as intonation and duration. In this paper we proposed Classification and Regression Tree (CART) to model the intensities of syllables. Positional, contextual and phonological features associated to syllables are...
This paper proposes linguistic, production and prosodic constraints for modeling the intonation patterns of sequence of syllables. Linguistic constraints are represented by positional, contextual and phonological features, production constraints are represented by articulatory features, and prosodic constraints are represented by durations and intensities of syllables. Neural network models are explored...
This paper proposes an intonation model using feed forward neural network (FFNN) for syllable based text to speech (TTS) synthesis system for an Indian language Bengali. The features used to model the neural network include set of positional, contextual and phonological features. The proposed intonation model predicts three F0 values correspond to initial, middle and final positions of each syllable...
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