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Syllabic Intensity Variations as Quantification of Speech Rhythm: Evidence from Both L1 and L2


He, Lei (2012). Syllabic Intensity Variations as Quantification of Speech Rhythm: Evidence from Both L1 and L2. In: 6th International Conference on Speech Prosody 2012, Shanghai, 22 May 2012 - 25 May 2012. ISCA, 466-469.

Abstract

In this study, three intensity metrics (ΔS.dB, VarcoS.dB and nPVI.dB) devised on the basis of the well-known durational metrics were tested on both L1 (English and Mandarin) and L2 (L2 English). The results suggested that they were effective in distinguishing “stress-timed” English from perceptually “syllable-timed” Mandarin and L2 English (by Mandarin speakers). These metrics break the impasse that although the L1 and L2 varieties of English were similar on durational measurements, they were perceptually different in rhythmicity. Therefore, it is advised that intensity metrics be applied in future rhythm research.

Abstract

In this study, three intensity metrics (ΔS.dB, VarcoS.dB and nPVI.dB) devised on the basis of the well-known durational metrics were tested on both L1 (English and Mandarin) and L2 (L2 English). The results suggested that they were effective in distinguishing “stress-timed” English from perceptually “syllable-timed” Mandarin and L2 English (by Mandarin speakers). These metrics break the impasse that although the L1 and L2 varieties of English were similar on durational measurements, they were perceptually different in rhythmicity. Therefore, it is advised that intensity metrics be applied in future rhythm research.

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11 citations in Web of Science®
18 citations in Scopus®
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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:06 Faculty of Arts > Department of Comparative Language Science
06 Faculty of Arts > Institute of Computational Linguistics
Dewey Decimal Classification:000 Computer science, knowledge & systems
490 Other languages
890 Other literatures
410 Linguistics
Scopus Subject Areas:Social Sciences & Humanities > Language and Linguistics
Physical Sciences > Computer Vision and Pattern Recognition
Physical Sciences > Human-Computer Interaction
Physical Sciences > Software
Physical Sciences > Mechanical Engineering
Language:English
Event End Date:25 May 2012
Deposited On:08 Nov 2016 13:09
Last Modified:07 Aug 2022 06:47
Publisher:ISCA
OA Status:Green