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Loudness predicts prominence

Subtitle:
fundamental frequency lends little
Abstract:

We explored a database covering seven dialects of British and Irish English and three different styles of speech to find acoustic correlates of prominence. We built classifiers, trained the classifiers on human prominence/nonprominence judgments, and then evaluated how well they behaved. The classifiers operate on 452 ms windows centred on syllables, using different acoustic measures. By comparing the performance of classifiers based on different measures, we can learn how prominence is expre...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1121/1.1923349

Authors


More by this author
Institution:
University of Oxford
Department:
Humanities Division - Linguistics & Phonetics - Phonetics
More by this author
Institution:
University of Oxford
Department:
Humanities Division - Linguistics & Phonetics - Phonetics
More by this author
Institution:
University of Oxford
Department:
Humanities Division - Linguistics & Phonetics - Phonetics
More by this author
Institution:
University of Oxford
Department:
Humanities Division - Linguistics & Phonetics - Phonetics

Contributors

Publisher:
Acoustical Society of America Publisher's website
Journal:
Journal of the Acoustical Society of America Journal website
Volume:
118
Issue:
2
Pages:
1038-1054
Publication date:
2005-08-05
DOI:
ISSN:
0091-4966
URN:
uuid:84f7f74f-32ac-4e74-afc0-5c1df0b95349
Local pid:
ora:1504

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