Carregant...
Miniatura

Tipus de document

Article

Versió

Versió publicada

Data de publicació

Tots els drets reservats

Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/183091

The Information Structure-prosody interface in text-to-speech technologies. An empirical perspective

Títol de la revista

Director/Tutor

ISSN de la revista

Títol del volum

Resum

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.

Citació

Citació

DOMÍNGUEZ, Mónica, FARRÚS, Mireia, WANNER, Leo. The Information Structure-prosody interface in text-to-speech technologies. An empirical perspective. _Corpus Linguistics and Linguistic Theory_. 2022. Vol. 18, núm. 2, pàgs. 419-445. [consulta: 5 de febrer de 2026]. ISSN: 1613-7027. [Disponible a: https://hdl.handle.net/2445/183091]

Exportar metadades

JSON - METS

Compartir registre