Phonology Modelling For Expressive Speech Synthesis: a Review
Year: 2014
Type: article
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.
Authors: Raheel Qader, Damien Lolive, Damien Lolive, Phonology Modelling, Hal Id Hal, Gwénolé Lecorvé, Pascale Sébillot
Institution: Université de Bretagne Sud
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2228222574