Variability, overlap, and cue trading in intonation
Bibliographic Data
| ID | 7900245 |
|---|---|
| Authors | Amalia Arvaniti (0000-0002-1689-1931), Argyro Katsika, Na Hu (0000-0001-6362-0969) |
| Year | 2024 |
| Volume | 100 |
| Issue | 2 |
| Pages | 265-307 |
| Publication date | 2024-06-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Language (JOURNAL) |
| Journal identifiers | ISSN: 0097-8507 • E-ISSN: 1535-0665 |
| Publisher | Project MUSE (PUBLISHER • US) |
| DOI | 10.1353/lan.2024.a929737 |
| OpenAlex | W4399579451 |
| Language | EN |
| Citations received | 4 |
We modeled the Greek H*, L+H*, and H*+L pitch accents using functional principal component analysis, followed by statistical modeling and curve reconstruction. The accents were distinguished by F0 height and shape. The data also exhibited cue trading between F0 and duration, as well as systematic context-driven variation and general variability, which led to category overlap comparable to that reported for vowel contrasts. These findings indicate that intonation categories are more similar to segmental categories than previously thought, supporting the view that the study of intonation phonetics and phonology should follow the same principles as the study of segments
Acoustics · Context (archaeology) · Duration (music) · Intonation (linguistics) · Linguistics · Phonetics · Phonology · Physics · Predictability · Principal component analysis · Speech recognition · Statistics · Variation (astronomy) · Vowel · Artificial Intelligence · Computer Science · History · Mathematics · Music Technology and Sound Studies · Neuroscience and Music Perception · Philosophy · Phonetics and Phonology Research · Psychology
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| Citations per year | 2 |
|---|---|
| Citation span | 2024 - 2026 (3) |
| Highly cited | No |