Methods in Empirical Prosody Research
DOI: 10.1515/9783110914641.181
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Time Types and Time Trees: Prosodic Mining and Alignment of Temporally Annotated Data

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Cited by 12 publications
(13 citation statements)
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“…Global and local linear measures of segmental variability known as 'rhythm metrics' have been used to classify languages according to the traditional rhythm taxonomy, with very limited success (for formal and empirical critique, see especially Cummins 2002;Gibbon 2006;Arvaniti 2012). Nonetheless, in a study by Ramus et al (1999), a short text read by four Polish speakers exhibited high standard deviation of consonantal intervals (ΔC) and a low proportion of vocalic intervals (%V).…”
Section: Rhythm Typementioning
confidence: 99%
“…Global and local linear measures of segmental variability known as 'rhythm metrics' have been used to classify languages according to the traditional rhythm taxonomy, with very limited success (for formal and empirical critique, see especially Cummins 2002;Gibbon 2006;Arvaniti 2012). Nonetheless, in a study by Ramus et al (1999), a short text read by four Polish speakers exhibited high standard deviation of consonantal intervals (ΔC) and a low proportion of vocalic intervals (%V).…”
Section: Rhythm Typementioning
confidence: 99%
“…Campbell 1992;Gibbon 2006). Further, syllable lengths increase over the length of the utterance, both overall (as shown by the slightly rising regression line), but also the stressed syllables /taɪ/, /maʊs/ increase in length, a pattern which is repeated in the second half, also overall slightly higher, with the syllables /wɔːk/ and /fiːld/, marking a hierarchical timing structure (cf.…”
Section: Syllable Timing Patternsmentioning
confidence: 95%
“…And starting points have been very different, so that rhythm studies have varied greatly over the years in the methods used, and consqeuently phoneticians have come to very different conclusions. A classification of approaches to such rhythm models and metrics was proposed by Gibbon (2006), and some of these will be referred to in the present study. Later phonological 'rhythm' studies combined these with data structures such as trees and histograms ('grids', i.e.…”
Section: Rhythm Schema Rhythm Interpretation and Rhythm Performancementioning
confidence: 99%
“…We propose a bottom-up acoustic measure for parsing into larger speech units (Peak Units), and have implemented a tool for examining the duration properties of these larger groups. The Peak Units are shallow or minimal Time Trees of depth 2, in the sense of Gibbon [16]. The data flow design is shown in Figure 3.…”
Section: Timing Beyond the Metricsmentioning
confidence: 99%