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In this paper we present ongoing work to produce an expressive TTS readerthat can be used both in text and dialogue applications. The system calledSPARSAR has been used to read (English) poetry so far but it can now be appliedto any text. The text is fully analyzed both at phonetic and phonologicallevel, and at syntactic and semantic level. In addition, the system has accessto a restricted list of typical pragmatically marked phrases and expressionsthat are used to convey specific discourse function and speech acts and needspecialized intonational contours. The text is transformed into a poem-likestructures, where each line corresponds to a Breath Group, semantically andsyntactically consistent. Stanzas correspond to paragraph boundaries.Analogical parameters are related to ToBI theoretical indices but their numberis doubled. In this paper, we concentrate on short stories and fables.

Expressivity in TTS from Semantics and Pragmatics