Rhythm metrics on syllables and feet do not work as expected

Mairano, Paolo; Romano, Antonio

doi:10.21437/interspeech.2011-505

Cited by 3 publications

(3 citation statements)

References 3 publications

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“…To assess the temporal patterns of speech, we computed the durational variability of consonantal (C) and vocalic (V) intervals using Correlatore (automatic rhythm analysis software; Mairano & Romano, 2010). This variability is captured, among other measures, by the coefficients of variation, VarcoC and VarcoV (White & Mattys, 2007;Dellwo, 2006); the coefficient is the standard deviation divided by the mean duration of intervals for each sentence.…”

Section: Discussionmentioning

confidence: 99%

Speech rhythm convergence in a dyadic reading task

Cerda-Oñate

Vega

Ordin

2021

Speech Communication

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Section: Discussionmentioning

confidence: 99%

Speech rhythm convergence in a dyadic reading task

Cerda-Oñate

Vega

Ordin

2021

Speech Communication

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“…We begin introducing the more "traditional" phonetic indices. They are the following: speech rate (SpRate), namely, the ratio between phonetic syllables and total CPs duration; 16 relative mean intensity (Rel_meanI); 17 relative mean pitch 16 Obtained using the script developed by Mairano (2011), for the extraction of the durations noted in the TextGrids. This allowed us to sum up all the speech durations, isolating the pausal ones, and then calculate the ratio between the number of syllables (perceptually identified) and the overall duration.…”

Section: The Vip/vsp-radarmentioning

confidence: 99%

Towards a phonetic history of the voices of Spanish poets

Colonna,

Pamies Bertrán,

Damato

2024

EFE

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How does the voice of a poet sound? Poetry reading, an essential component of this art, represents interesting material for phonetic studies. However, it remains an under-researched topic. This work attempts to go beyond the state of the art, providing an experimental analysis of some voices of the Generation of ’27, aiming to mark the first step towards a phonetic history of the voices of Spanish poets. This research, which employs a qualitative phonetic approach and a statistical approach, has brought to light some principal elements. These include variation as a consistent element among authors and within a single author, enabling the detection of main features and sub-groups; common features marking a global grouping; and the possible variety and criticism of clusters, revealing the complexity of this speech and the effectiveness of our model to describe it.

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“…The original goal of such rhythm metrics was to compare different languages (assuming that the temporal structure of vocalic and consonantal intervals would reflect phonological properties of these languages [17], [18]). However, some scholars found differences in speech rhythm, even between two varieties of the same language (e.g., between European and Brazilian Portuguese [19]) or between L1 and L2 speakers [20].…”

Section: Introductionmentioning

confidence: 99%

Syllable rate and speech rhythm in multiethnolectal Zurich German: a comparison of speaking styles

Morand¹,

Bruno²,

Schwab³

et al. 2022

Speech Prosody 2022

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Multiethnolectal ways of speaking have been emerging for 30 years in culturally and linguistically diverse neighborhoods of European cities, including Zurich (Switzerland). Among the prosodic features of Germanic multiethnolects, a so-called 'staccato' rhythm has been mentioned in several studies. For instance, a comparison between two groups of adolescents (12 speakers each) showed that speakers of multiethnolectal Zurich German displayed slower syllable rates and less vowel duration variability than speakers of a rather traditional dialect.This study compares syllable rate and speech rhythm metrics (nPVI-V, nPVI-C) in spontaneous and read speech of 48 Zurich German adolescents. In a regression analysis, rhythmic measures were compared with the perception of how multiethnolectal the speakers sounded (rating score). The results showed that syllable rate and nPVI-V were related to rating score independently of speaking style (read, spontaneous speech): Speakers who were perceived as more multiethnolectal had a slower syllable rate and less vowel duration variability. Such findings were not observed for nPVI-C.These results suggest that syllable rate and speech rhythm (at least, vowel duration variability) are stable phonetic features of multiethnolectal Zurich German, since the relationship between these features and the perception of multiethnolectal speech was observed in both read and spontaneous speech.

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Rhythm metrics on syllables and feet do not work as expected

Cited by 3 publications

References 3 publications

Speech rhythm convergence in a dyadic reading task

Speech rhythm convergence in a dyadic reading task

Towards a phonetic history of the voices of Spanish poets

Syllable rate and speech rhythm in multiethnolectal Zurich German: a comparison of speaking styles

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