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Rhythm measures with language-independent segmentation

Abstract:

We compare 15 measures of speech rhythm based on an automatic segmentation of speech into vowel-like and consonant-like regions. This allows us to apply identical segmentation criteria to all languages and to compute rhythm measures over a large corpus. It may also approximate more closely the segmentation available to pre-lexical infants, who apparently can discriminate between languages. We find that within-language variation is large and comparable to the between-languages differences we o...

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Publication status:
Published
Peer review status:
Peer reviewed

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Institution:
University of Oxford
Division:
HUMS
Department:
Linguistics Philology and Phonetics Faculty
Oxford college:
St Cross College
Role:
Author
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Institution:
University of Oxford
Division:
HUMS
Department:
Linguistics Philology and Phonetics Faculty
Role:
Author
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Institution:
University of Illinois, Urbana-Champaign, UK
Department:
East Asian Languages and Cultures
Role:
Author
More by this author
Institution:
University of Oxford
Division:
HUMS
Department:
Linguistics Philology and Phonetics Faculty
Role:
Author
More by this author
Institution:
University of Oxford
Division:
HUMS
Department:
Linguistics Philology and Phonetics Faculty
Oxford college:
Christ Church
Role:
Author
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Funding agency for:
Kochanski, G
Grant:
RES-062-23-1323
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Funding agency for:
Loukina, A
Grant:
RES-062-23-1323
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Funding agency for:
Shih, C
Grant:
"IIS-0623805", "IIS-0534133"
More from this funder
Funding agency for:
Keane, E
Grant:
RES-062-23-1323
Publisher:
International Speech Communication Association Publisher's website
Language:
English
Keywords:
Subjects:
UUID:
uuid:93a7fe04-4b78-4d4a-b2c3-cf313d57ad9f
Local pid:
ora:7817
Deposit date:
2014-02-03

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