Individual variability in the use of tonal and non-tonal cues in intonation

Greek uses H*, L + H*, and H* + L, all followed by L-L% edge tones, as nuclear pitch accents in statements. A previous analysis demonstrated that these accents are distinguished by F0 scaling and contour shape. This study expands the earlier investigation by exploring additional cues, namely, voice quality, amplitude, and duration, in distinguishing the pitch accents, and investigating individual variability in the selection of both F0 and non-F0 cues. Bayesian multivariate analysis and hierarchical clustering demonstrate that the accents are distinguished not only by F0 but also by additional cues at the group level, with individual variability in cue selection.

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Publication Details

Journal
JASA Express Letters
Published
2024-09-01
DOI
https://doi.org/10.1121/10.0028613
Citations
2
Primary Topic
Phonetics and Phonology Research
Type
article
Field-Weighted Citation Impact
1.02

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article

Individual variability in the use of tonal and non-tonal cues in intonation

Amalia Arvaniti, Na Hu
2 citations
JASA Express Letters
Phonetics and Phonology Research
1.02
article

Individual variability in the use of tonal and non-tonal cues in intonation

Amalia Arvaniti, Na Hu
article en
2 citations

Abstract

Greek uses H*, L + H*, and H* + L, all followed by L-L% edge tones, as nuclear pitch accents in statements. A previous analysis demonstrated that these accents are distinguished by F0 scaling and contour shape. This study expands the earlier investigation by exploring additional cues, namely, voice quality, amplitude, and duration, in distinguishing the pitch accents, and investigating individual variability in the selection of both F0 and non-F0 cues. Bayesian multivariate analysis and hierarchical clustering demonstrate that the accents are distinguished not only by F0 but also by additional cues at the group level, with individual variability in cue selection.

JASA Express LettersVol. 4(9)
Radboud University Nijmegen (NL)
European Commission, H2020 European Research Council
Quality Education
Openalex Percentile: Top 21%
Phonetics and Phonology Research
1.02
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