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Language redundancy predicts syllabic duration and the spectral characteristics of vocalic syllable nuclei
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10.1121/1.2188331
/content/asa/journal/jasa/119/5/10.1121/1.2188331
http://aip.metastore.ingenta.com/content/asa/journal/jasa/119/5/10.1121/1.2188331

Figures

Image of FIG. 1.
FIG. 1.

Illustration of acoustic redundancy differences in an vowel space.

Image of FIG. 2.
FIG. 2.

Syllabic duration means (log ms), presented by redundancy group and by prosodic prominence, with prosodic boundaries controlled as specified in Sec. II D. All differences in means are significant. As a reference: 2.00 , 2.20 , 2.40 , 2.60 .

Image of FIG. 3.
FIG. 3.

Unique contributions of prosodic prominence and redundancy factors to the linear regression model.

Image of FIG. 4.
FIG. 4.

Syllabic duration means (log ms), by redundancy group and by vowel. All differences in means are significant. As a reference: 2.00 , 2.20 , 2.40 , 2.60 .

Image of FIG. 5.
FIG. 5.

Unique contributions of prosodic prominence and redundancy factors to linear regression models for each vowel.

Image of FIG. 6.
FIG. 6.

Male spectral results by vowel . language redundancy, language redundancy, language redundancy. All differences between 1 & 2, 2 & 3, 1 & 3 are significant for both and (unless noted) on the basis of a posthoc t-test with Bonferroni correction. Nonsignificant group differences: 1 & 2, F2 1 & 2 & 3, // 2 & 3, // 1 & 2.

Image of FIG. 7.
FIG. 7.

Female spectral results by vowel . language redundancy, language redundancy, language redundancy. All differences between 1 & 2, 2 & 3, 1 & 3 are significant for both and (unless noted) on the basis of a posthoc t-test with Bonferroni correction. Nonsignificant group differences: / 1 & 2, // 1 & 2, /i/ F1 2 & 3, /u/ 1 & 2.

Image of FIG. 8.
FIG. 8.

The relationship between the predictive power of redundancy and prosodic prominence linear regression models, for male speakers only.

Tables

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TABLE I.

Contribution from the original n-gram log likelihoods to wide and narrow factors. Values for the wide and narrow factors were produced by normalizing unigram, bigram, and trigram values using mean and standard deviation values and by multiplying them by the factor analysis components.

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TABLE II.

Example syllables from each language redundancy group (in capitals). Example syllables are shown along with the two preceding syllables used to compute the target syllable’s language redundancy.

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TABLE III.

Variation in prosodic prominence and language redundancy by vowel (prosodic boundaries controlled).

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TABLE IV.

predictions for each vowel as acoustic redundancy drops due to centralization.

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TABLE V.

Changes in mean values from low to high redundancy.

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TABLE VI.

linear regression results for combined redundancy and prosodic prominence models, split by vowel and by speaker sex.

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/content/asa/journal/jasa/119/5/10.1121/1.2188331
2006-05-01
2014-04-16
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752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: Language redundancy predicts syllabic duration and the spectral characteristics of vocalic syllable nuclei
http://aip.metastore.ingenta.com/content/asa/journal/jasa/119/5/10.1121/1.2188331
10.1121/1.2188331
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