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Using a coupled-oscillator model of speech rhythm to estimate rhythmic variability in two Brazilian Portuguese varieties (CE and SP)

Bibliographic Data

ID7695048
AuthorsPablo Arantes (0000-0001-9707-8493, Universidade Federal de São Carlos), Ronaldo Mangueira Lima (0000-0002-8610-0306, Universidade Federal do Ceará)
Year2021
Volume2
Issue4
Pagese577
Publication date2021-09-04
Open AccessYes
TypeARTICLE
VenueCadernos de Linguística e Teoria da Literatura (Universidade Federal de Minas Gerais) (JOURNAL)
Journal identifiersISSN: 2675-4916 • E-ISSN: 2675-4916
PublisherAssociacao Brasileira de Linguistica (PUBLISHER)
DOI10.25189/2675-4916.2021.v2.n4.id577
OpenAlexW3198172110
LanguageEN
References cited6

This paper presents preliminary results of a semi-automatic methodology to extract three parameters of a dynamic model of speech rhythm. The model attempts to analyze the production of rhythm as a system of coupled oscillators which represent syllabicity and phrase stress as levels of temporal organization. The estimated parameters are the syllabic oscillator entrainment rate (alpha), the syllabic oscillator decay rate (beta), and the coupling strength between the oscillators (w0). The methodology involves finding the combination that minimizes the distance between natural duration contours and simulated contours generated using several combinations of the parameters. The distance between natural and model-generated contours was measured in two ways by comparing: (1) plain or overt syllable to syllable duration and (2) relative change along both contours.We applied this methodology to read speech produced by five speakers of the state of Ceará (CE) and eight speakers of the state of São Paulo (SP). Mean w0 and alpha values are compatible with the view that Brazilian Portuguese is a mixed-rhythm language. Results from two bayesian hierarchical regression models do not suggest a difference between SP and CE speakers, but indicate a difference between the two methods, with the relative change method generating lower alpha values and higher w0 values, and the reverse for the plain duration method

Acoustics · Physics · Rhythm · Speech recognition · Statistics · Syllabic verse · Syllable · Computer Science · Linguistic Variation and Morphology · Mathematics · Phonetics and Phonology Research · Speech and Audio Processing

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