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Expression of Emotion in Eastern and Western Music Mirrors Vocalization

Overview of attention for article published in PLOS ONE, March 2012
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Title
Expression of Emotion in Eastern and Western Music Mirrors Vocalization
Published in
PLOS ONE, March 2012
DOI 10.1371/journal.pone.0031942
Pubmed ID
Authors

Daniel Liu Bowling, Janani Sundararajan, Shui'er Han, Dale Purves

Abstract

In Western music, the major mode is typically used to convey excited, happy, bright or martial emotions, whereas the minor mode typically conveys subdued, sad or dark emotions. Recent studies indicate that the differences between these modes parallel differences between the prosodic and spectral characteristics of voiced speech sounds uttered in corresponding emotional states. Here we ask whether tonality and emotion are similarly linked in an Eastern musical tradition. The results show that the tonal relationships used to express positive/excited and negative/subdued emotions in classical South Indian music are much the same as those used in Western music. Moreover, tonal variations in the prosody of English and Tamil speech uttered in different emotional states are parallel to the tonal trends in music. These results are consistent with the hypothesis that the association between musical tonality and emotion is based on universal vocal characteristics of different affective states.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 159 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Spain 2 1%
France 1 <1%
Norway 1 <1%
Austria 1 <1%
Australia 1 <1%
Switzerland 1 <1%
Costa Rica 1 <1%
Belarus 1 <1%
Other 6 4%
Unknown 141 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 18%
Researcher 25 16%
Student > Master 22 14%
Student > Bachelor 20 13%
Professor 14 9%
Other 26 16%
Unknown 23 14%
Readers by discipline Count As %
Psychology 46 29%
Agricultural and Biological Sciences 22 14%
Arts and Humanities 14 9%
Neuroscience 12 8%
Social Sciences 10 6%
Other 29 18%
Unknown 26 16%