Loudness predicts prominence

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 classif...

पूर्ण विवरण

ग्रंथसूची विवरण
मुख्य लेखकों: Kochanski, G, Grabe, E, Coleman, J, Rosner, B
स्वरूप: Journal article
भाषा:English
प्रकाशित: Acoustical Society of America 2005
विषय:
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author Kochanski, G
Grabe, E
Coleman, J
Rosner, B
author_facet Kochanski, G
Grabe, E
Coleman, J
Rosner, B
author_sort Kochanski, G
collection OXFORD
description 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 expressed in speech. Contrary to textbooks and common assumption, fundamental frequency (f0) played a minor role in distinguishing prominent syllables from the rest of the utterance. Instead, speakers primarily marked prominence with patterns of loudness and duration. Two other acoustic measures that we examined also played a minor role, comparable to f0. All dialects and speaking styles studied here share a common definition of prominence. The result is robust to differences in labeling practice and the dialect of the labeler.
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spelling oxford-uuid:84f7f74f-32ac-4e74-afc0-5c1df0b953492022-03-26T21:54:24ZLoudness predicts prominenceJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:84f7f74f-32ac-4e74-afc0-5c1df0b95349LinguisticsEnglishOxford University Research Archive - ValetAcoustical Society of America2005Kochanski, GGrabe, EColeman, JRosner, BWe 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 expressed in speech. Contrary to textbooks and common assumption, fundamental frequency (f0) played a minor role in distinguishing prominent syllables from the rest of the utterance. Instead, speakers primarily marked prominence with patterns of loudness and duration. Two other acoustic measures that we examined also played a minor role, comparable to f0. All dialects and speaking styles studied here share a common definition of prominence. The result is robust to differences in labeling practice and the dialect of the labeler.
spellingShingle Linguistics
Kochanski, G
Grabe, E
Coleman, J
Rosner, B
Loudness predicts prominence
title Loudness predicts prominence
title_full Loudness predicts prominence
title_fullStr Loudness predicts prominence
title_full_unstemmed Loudness predicts prominence
title_short Loudness predicts prominence
title_sort loudness predicts prominence
topic Linguistics
work_keys_str_mv AT kochanskig loudnesspredictsprominence
AT grabee loudnesspredictsprominence
AT colemanj loudnesspredictsprominence
AT rosnerb loudnesspredictsprominence