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Phonology Modelling for Expressive Speech Synthesis: a Review

Raheel Qader 1 Gwénolé Lecorvé 1 Damien Lolive 1 Pascale Sébillot 2 
1 EXPRESSION - Expressiveness in Human Centered Data/Media
UBS - Université de Bretagne Sud, IRISA-D6 - MEDIA ET INTERACTIONS
2 TEXMEX - Multimedia content-based indexing
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : Expressive speech processing is an important scientific problem as expressivity introduces a lot of variability into speech. This variability leads to a degradation of speech application performances. Variations are reflected in the linguistic, phonological and acoustic sides of speech. However our main interest is on phonology, more precisely the study of pronunciation and of disfluencies. Both of these fields have huge impacts on speech. This report is a bibliographical review of the state of the art in expressivity and phonology modelling. Although the main focus will be on speech synthesis, we will discuss works about automatic speech recognition as well because expressivity modelling in phonology is a cross-domain problem.
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Submitted on : Wednesday, July 9, 2014 - 6:45:30 PM
Last modification on : Thursday, October 27, 2022 - 3:45:33 AM
Long-term archiving on: : Thursday, October 9, 2014 - 12:52:55 PM


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  • HAL Id : hal-01021911, version 1


Raheel Qader, Gwénolé Lecorvé, Damien Lolive, Pascale Sébillot. Phonology Modelling for Expressive Speech Synthesis: a Review. [Research Report] PI-2020, IRISA, équipe EXPRESSION. 2014, 18 p., 1 column. ⟨hal-01021911⟩



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