2019
DOI: 10.1016/j.wocn.2019.02.004
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Alignment of f0 peak in different pitch accent types affects perception of metrical stress

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Cited by 18 publications
(22 citation statements)
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“…We modeled these looking proportions using Generalized Additive Mixed Models (GAMMs). This approach has become an important tool to model time series data, such as eyetracking trajectories, because it can estimate flexible, nonlinear relationships ("smooths") between variables such as time and relevant covariates (i.e., effects of group and/or condition) (Rij, Hollebr, & Hendriks, 2016;Zahner, Kutscheid, & Braun, 2019). GAMMs are composed of (fixed) parametric terms that model static relationships between two variables, as is common in generalized linear modeling, and smooth terms that model nonlinear effects by using penalized basis functions (i.e., smoothing splines).…”
Section: Resultsmentioning
confidence: 99%
“…We modeled these looking proportions using Generalized Additive Mixed Models (GAMMs). This approach has become an important tool to model time series data, such as eyetracking trajectories, because it can estimate flexible, nonlinear relationships ("smooths") between variables such as time and relevant covariates (i.e., effects of group and/or condition) (Rij, Hollebr, & Hendriks, 2016;Zahner, Kutscheid, & Braun, 2019). GAMMs are composed of (fixed) parametric terms that model static relationships between two variables, as is common in generalized linear modeling, and smooth terms that model nonlinear effects by using penalized basis functions (i.e., smoothing splines).…”
Section: Resultsmentioning
confidence: 99%
“…This model showed main effects for all fixed effects and interactions between frequency band and language and frequency band and sentence length. For further analysis of the interactions, we used generalized additive mixed models, GAMMs [30][31][32][33][34]. They are suited to pinpoint where differences occur; taking into account non-linear relationships and auto-correlation [35,36].…”
Section: Methodsmentioning
confidence: 99%
“…Stressed syllables play a role for speech processing in socalled stress languages, such as English, Dutch, German, Spanish and Italian (e.g. Cooper et al, 2002;Cutler & Norris, 1988;Donselaar et al, 2005;Friedrich et al, 2004;Reinisch et al, 2010;Soto-Faraco et al, 2001;Sulpizio & McQueen, 2012;Zahner et al, 2019). In these languages, each content word contains one syllable with primary stress, which functions as the head of the word in a phonological sense (Hyman, 1977), e.g.…”
Section: The Link Between Word Level and Sentence Level Prominencementioning
confidence: 99%
“…f0-movement: A number of studies recently reported that the perception of word-level stress is influenced by phrase-level intonation, i.e. whether stressed syllables are high-or low-pitched (Dilley & Heffner, 2013;Friedrich et al, 2001;Schwab & Dellwo, 2017;Zahner et al, 2019); unstressed syllables were even misinterpreted as being stressed when they were high-pitched (Zahner et al, 2019). On the level of the phrase, similar findings have been reported for perceived prominence of rising or high pitch in spoken utterances (Baumann & Röhr, 2015;Baumann & Winter, 2018;Niebuhr & Winkler, 2017;Wagner et al, 2016) with a focus on degrees of perceived prominence (e.g.…”
Section: Introductionmentioning
confidence: 99%