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Title: The Information Structure-prosody interface in text-to-speech technologies. An empirical perspective
Author: Domínguez, Mónica
Farrús, Mireia
Wanner, Leo
Keywords: Lingüística computacional
Anàlisi prosòdica (Lingüística)
Entonació (Fonètica)
Tema i rema
Corpus (Lingüística)
Computational linguistics
Prosodic analysis (Linguistics)
Intonation (Phonetics)
Topic and comment
Corpora (Linguistics)
Issue Date: 2022
Publisher: De Gruyter Mouton
Abstract: The correspondence between the communicative intention of a speaker in terms of Information Structure and the way this speaker reflects communicative aspects by means of prosody have been a fruitful field of study in Linguistics. However, text-to-speech applications still lack the variability and richness found in human speech in terms of how humans display their communication skills. Some attempts were made in the past to model one aspect of Information Structure, namely thematicity for its application to intonation generation in text-to-speech technologies. Yet, these applications suffer from two limitations: (i) they draw upon a small number of made-up simple question-answer pairs rather than on real (spoken or written) corpus material; and (ii) they do not explore whether any other interpretation would better suit a wider range of textual genres beyond dialogs. In this paper, two different interpretations of thematicity in the field of speech technologies are examined: the state-of-art binary (and flat) theme-rheme, and the hierarchical thematicity defined by Igor Mel'čuk within the Meaning-Text Theory. The outcome of the experiments on a corpus of native speakers of US English suggests that the latter interpretation of thematicity has a versatile implementation potential for text-to-speech applications of the Information Structure-prosody interface.
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It is part of: Corpus Linguistics and Linguistic Theory, 2022, vol. 18, num. 2, p. 419-445
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ISSN: 1613-7027
Appears in Collections:Articles publicats en revistes (Filologia Catalana i Lingüística General)
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