Rhythm measures with language-independent segmentation

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 segme...

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Hlavní autoři: Loukina, A, Kochanski, G, Shih, C, Keane, E, Watson, I
Médium: Journal article
Jazyk:English
Vydáno: International Speech Communication Association 2009
Témata:
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author Loukina, A
Kochanski, G
Shih, C
Keane, E
Watson, I
author_facet Loukina, A
Kochanski, G
Shih, C
Keane, E
Watson, I
author_sort Loukina, A
collection OXFORD
description 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 observed. We evaluate the success of different measures in separating languages and show that the efficiency of measures depends on the languages included in the corpus. Rhythm appears to be described by two dimensions and different published rhythm measures capture different aspects of it.
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spelling oxford-uuid:93a7fe04-4b78-4d4a-b2c3-cf313d57ad9f2022-03-26T23:33:45ZRhythm measures with language-independent segmentationJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:93a7fe04-4b78-4d4a-b2c3-cf313d57ad9fPhoneticsRussianChineseFrenchEnglish & Old English languageMedieval and Modern GreekLinguisticsEnglishOxford University Research Archive - ValetInternational Speech Communication Association2009Loukina, AKochanski, GShih, CKeane, EWatson, IWe 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 observed. We evaluate the success of different measures in separating languages and show that the efficiency of measures depends on the languages included in the corpus. Rhythm appears to be described by two dimensions and different published rhythm measures capture different aspects of it.
spellingShingle Phonetics
Russian
Chinese
French
English & Old English language
Medieval and Modern Greek
Linguistics
Loukina, A
Kochanski, G
Shih, C
Keane, E
Watson, I
Rhythm measures with language-independent segmentation
title Rhythm measures with language-independent segmentation
title_full Rhythm measures with language-independent segmentation
title_fullStr Rhythm measures with language-independent segmentation
title_full_unstemmed Rhythm measures with language-independent segmentation
title_short Rhythm measures with language-independent segmentation
title_sort rhythm measures with language independent segmentation
topic Phonetics
Russian
Chinese
French
English & Old English language
Medieval and Modern Greek
Linguistics
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AT kochanskig rhythmmeasureswithlanguageindependentsegmentation
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AT keanee rhythmmeasureswithlanguageindependentsegmentation
AT watsoni rhythmmeasureswithlanguageindependentsegmentation