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Data · dataset · 2025

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

Listed in IISH Dataverse and ODISSEI Portal — shown once because both records carry DOI 10.34894/epnzir

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

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.

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Results showed that participants’ scores on a music perception test (Short-PROMS) predicted L2 prosodic focus processing, where participants with higher pitch perception scores anticipated the focus alternative, while participants with lower pitch scores did not. Scores on several subcomponents of the music perception test, but not pitch perception, 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, possibly—but not conclusively—resulting from musical experience, may transfer to the domain of speech prosody, thereby facilitating second-language processing.

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Inferred from text
Audio 65% · Music cognition 76%
Provenance · 2 source records, 16 field assertions
SourceKeyLast seenRaw
IISH Dataversedoi:10.34894/EPNZIR10 d agoJSON v1
ODISSEI Portaldoi:10.34894/EPNZIR7 d agoJSON v1
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