The vowel inherent spectral change of English vowels spoken by native and non-native speakers

Jin, Su-Hyun; Liu, Chang

doi:10.1121/1.4798620

Cited by 29 publications

(15 citation statements)

References 18 publications

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“…While there is a great deal of cross-language and acquisition research examining vowel quality in terms of static positions on a two dimensional acoustic space, studies of VISC and its effects on vowel perception have been largely limited to English as an L1. It is difficult to find cross-language comparisons and acquisition research devoted to spectral dynamics (but see Jin and Liu 2013;Rogers et al 2013).…”

Section: Introductionmentioning

confidence: 99%

Spectral dynamics in L1 and L2 vowel perception

Schwartz

Aperliński

Jekiel

et al. 2016

RiL

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This paper presents a study of L1 and L2 vowel perception by Polish learners of English. Employing the Silent Center paradigm (e.g. Strange et al. 1983), by which listeners are presented with different portions of a vowel, a force choice identification task was carried out. Due to differences in the vowel systems of the two languages, it was hypothesized that stimulus type should have minimal effects for L1 Polish vowel perception since Polish vowels are relatively stable in quality. In L2 English, depending on proficiency level, listeners were expected to adopt a more dynamic approach to vowel identification and show higher accuracy rates on the SC tokens. That is, listeners were expected to attend more to dynamic formant cues, or vowel inherent spectral change (VISC; see e.g. Morrison and Assmann 2013) in vowel perception. Results for identification accuracy for the most part were consistent with these hypotheses. Implications of VISC for the notion of cross-language phonetic similarity, crucial to models of L2 speech acquisition, are also discussed.

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Section: Introductionmentioning

confidence: 99%

Spectral dynamics in L1 and L2 vowel perception

Schwartz

Aperliński

Jekiel

et al. 2016

RiL

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“…TL was calculated as the sum of the two vowel sections lengths (VSL), i.e., the Euclidean distances between the measurement points at 20% and 50% of vowel duration ) and at 50% and 80% (¼VSL 80-50 ) in the F1-F2 plane as introduced in Fox and Jacewicz (2009) (cf. Jin and Liu, 2013),…”

Section: Acoustic Measurementsmentioning

confidence: 99%

Cross-linguistic vowel variation in trilingual speakers of Saterland Frisian, Low German, and High German

Peters¹,

Heeringa²,

Schoormann³

2017

The Journal of the Acoustical Society of America

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The present study compares the acoustic realization of Saterland Frisian, Low German, and High German vowels by trilingual speakers in the Saterland. The Saterland is a rural municipality in northwestern Germany. It offers the unique opportunity to study trilingualism with languages that differ both by their vowel inventories and by external factors, such as their social status and the autonomy of their speech communities. The objective of the study was to examine whether the trilingual speakers differ in their acoustic realizations of vowel categories shared by the three languages and whether those differences can be interpreted as effects of either the differences in the vowel systems or of external factors. Monophthongs produced in a /hVt/ frame revealed that High German vowels show the most divergent realizations in terms of vowel duration and formant frequencies, whereas Saterland Frisian and Low German vowels show small differences. These findings suggest that vowels of different languages are likely to share the same phonological space when the speech communities largely overlap, as is the case with Saterland Frisian and Low German, but may resist convergence if at least one language is shared with a larger, monolingual speech community, as is the case with High German.

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“…According to Morrison (2013), there is no evidence that DCT models perform better than interval models with regard to vowel categorization. Jin and Liu 2013). However, for clarity of presentation the Bark/100 msec unit for single formants will be used instead.…”

Section: Data Collection and Analysismentioning

confidence: 99%

Dynamic targets in the acquisition of L2 English vowels

Schwartz

Aperliński

Kaźmierski

et al. 2016

RiL

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Abstract This paper presents acoustic data on the dynamic properties of the FLEECE and TRAP vowels in the speech of two groups of Polish users of English. Results reveal that the more proficient group users, made up of teachers and professors with professional-level proficiency in English, produce more dramatic patterns of formant movement, reminiscent of native productions, than first year students. It is argued that vowel inherent spectral change (VISC) is an inherent aspect of English phonology, originated in interactions between vowels and neighboring consonants, and later generalized to the vowel system as a whole. By contrast, Polish is a language with a minimal role of VISC. Consequently, successful acquisition of L2 English vowels involves not only the mastery of vowels in F1- F2 space, but also formant trajectories over time.

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The vowel inherent spectral change of English vowels spoken by native and non-native speakers

Cited by 29 publications

References 18 publications

Spectral dynamics in L1 and L2 vowel perception

Spectral dynamics in L1 and L2 vowel perception

Cross-linguistic vowel variation in trilingual speakers of Saterland Frisian, Low German, and High German

Dynamic targets in the acquisition of L2 English vowels

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