2020
DOI: 10.1371/journal.pone.0230710
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Non-native speaker pause patterns closely correspond to those of native speakers at different speech rates

Abstract: When speaking a foreign language, non-native speakers can typically be readily identified by their accents. But which aspects of the speech signal determine such accents? Speech pauses occur in all languages but may nonetheless vary in different languages with regard to their duration, number or positions in the speech stream, and therefore are one potential contributor to foreign speech production. The aim of this study was therefore to investigate whether non-native speakers pause 'with a foreign accent'. We… Show more

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Cited by 9 publications
(6 citation statements)
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“…This may be because pauses involve an immediate and very salient decrease in signal amplitude, relative to the other cues we tested (Fletcher, 2010 ). Additionally, pauses should provide nearly unambiguous signals for word boundaries because, in real speech, pauses almost exclusively occur at word boundaries and are not as flexibly distributed as changes in duration or pitch (Trainor and Adams, 2000 ; Fletcher, 2010 ; Matzinger et al, 2020 ).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…This may be because pauses involve an immediate and very salient decrease in signal amplitude, relative to the other cues we tested (Fletcher, 2010 ). Additionally, pauses should provide nearly unambiguous signals for word boundaries because, in real speech, pauses almost exclusively occur at word boundaries and are not as flexibly distributed as changes in duration or pitch (Trainor and Adams, 2000 ; Fletcher, 2010 ; Matzinger et al, 2020 ).…”
Section: Discussionmentioning
confidence: 99%
“…The cue convergence hypothesis can be put forward for each of our prosodic cues separately, though it is more plausible for some changes than for others. Pause cues might be associated with word boundaries because in everyday speech, perceptible pauses occur almost exclusively at word boundaries, and hardly ever within words (Trainor and Adams, 2000 ; Fletcher, 2010 ; Sohail and Johnson, 2016 ; Matzinger et al, 2020 ). Lengthened syllables might also serve as signals for word-finality because domain-final elements are lengthened in everyday speech language-universally (Oller, 1973 ; Klatt, 1975 ; Vaissière, 1983 ; Tyler and Cutler, 2009 ; Fletcher, 2010 ; but also: White et al, 2020 ).…”
Section: Introductionmentioning
confidence: 99%
“…SR is the rate of syllable production over the entire recording including pauses and other major disfluencies (nsyll/ total duration), while AR is the rate of syllable production with silent pauses and other major disfluencies removed (nsyll/total duration minus pauses and disfluencies). By definition, for any given recording, AR is greater than SR. Because pausing and other disfluencies may be more prevalent in L2 speech than in L1 speech (e.g., see de Jong, 2016;Trouvain, Fauth & Möbius, 2016;Matzinger, Ritt & Fitch, 2020 and references therein), the magnitude of L2 versus L1 differences in SR will, if anything, be larger than L2 versus L1 differences in AR. In order to adopt a conservative stance, this study focuses on AR rather than SR. Any AR differences between L2 and L1 speech would likely be larger for SR. Average syllable duration is calculated based on AR (i.e., average syllable duration is equal to 1/AR).…”
Section: Methodsmentioning
confidence: 99%
“…Language-universally, pauses are realized at the end of sentences or phrases but hardly ever occur within phrases or within words [28,116]. This is further supported by second language learning studies finding that second language learners have hardly any problems acquiring pause characteristics typical of their second language [117,118]. Thus, while in principle, pauses could occur anywhere within the breathing range, it is most probable that domain-general cognitive processing mechanisms constrain them to occur at specific positions in the vocal output-namely at those positions where they structure the vocal output most efficiently and with the least processing effort.…”
Section: Pausesmentioning
confidence: 96%