Musical abilities predict the processing of prosodic focus cues in a second language: An eye-tracking study

DOI

Dataset and script used for the study "Musical abilities predict the processing of prosodic focus cues in a second language: An eye-tracking study". Description of the study: Previous research has demonstrated a relationship between musical abilities and the perception of speech prosody. The current study addressed the question whether potential music-related enhancements of prosody perception may contribute to second-language (L2) processing. Previous studies have indicated that proficient L2 English listeners have difficulty processing prosodic cues signalling contrastive focus, whereas L1 English listeners use these cues to anticipate upcoming information. In this study, L1 Dutch L2 English listeners at a high L2 proficiency level took part in a speech listening task with eye tracking in a visual-world paradigm, investigating anticipation based on prosodic focus cues. Results showed that participants' scores on a music perception test (Short-PROMS) predicted L2 prosodic focus processing, where participants with higher scores anticipated the focus alternative, while participants with lower scores did not. In addition, scores on the music perception test were related to participants' prior experience with playing a musical instrument. Following hypotheses of transfer in overlapping neural networks for the processing of music and speech, we suggest that strengthened neural networks for music, potentially resulting from musical experience, may transfer to the domain of speech prosody, thereby facilitating second-language processing.

Identifier
DOI https://doi.org/10.34894/EPNZIR
Metadata Access https://dataverse.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34894/EPNZIR
Provenance
Creator Jansen, Nelleke ORCID logo; Loerts, Hanneke ORCID logo; Harding, Eleanor E. ORCID logo; Başkent, Deniz ORCID logo; Lowie, Wander ORCID logo
Publisher DataverseNL
Contributor Groningen Digital Competence Centre; DataverseNL Network
Publication Year 2025
Rights CC0 1.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Contact Groningen Digital Competence Centre (University of Groningen)
Representation
Resource Type Dataset
Format text/plain; text/html; text/x-r-notebook
Size 1934265; 8583; 20496628; 702; 2736; 3663; 3299106; 70067
Version 1.0
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Humanities; Life Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences