Identifying Melodic Motifs and Stable Notes from Gestural Information in Indian Vocal Performances
Manual gesture plays an important role in Indian classical singing, and one of its functions is to support, illustrate or communicate aspects of raga melody. We explore the relationship between hand movements and melodic elements in Indian classical vocal performances, using kinematic data to classi...
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Format: | Article |
Language: | English |
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Ubiquity Press
2024-12-01
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Series: | Transactions of the International Society for Music Information Retrieval |
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Online Access: | https://account.transactions.ismir.net/index.php/up-j-tismir/article/view/211 |
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author | Shreyas Nadkarni Preeti Rao Martin Clayton |
author_facet | Shreyas Nadkarni Preeti Rao Martin Clayton |
author_sort | Shreyas Nadkarni |
collection | DOAJ |
description | Manual gesture plays an important role in Indian classical singing, and one of its functions is to support, illustrate or communicate aspects of raga melody. We explore the relationship between hand movements and melodic elements in Indian classical vocal performances, using kinematic data to classify stable notes and raga-specific phrases. Our findings reveal consistent gestural patterns across singers, with potential applications in gesture-based music analysis. |
format | Article |
id | doaj-art-214f8ca641094388bb6174ec6908ead6 |
institution | Kabale University |
issn | 2514-3298 |
language | English |
publishDate | 2024-12-01 |
publisher | Ubiquity Press |
record_format | Article |
series | Transactions of the International Society for Music Information Retrieval |
spelling | doaj-art-214f8ca641094388bb6174ec6908ead62025-01-08T08:41:57ZengUbiquity PressTransactions of the International Society for Music Information Retrieval2514-32982024-12-0171246–263246–26310.5334/tismir.211211Identifying Melodic Motifs and Stable Notes from Gestural Information in Indian Vocal PerformancesShreyas Nadkarni0Preeti Rao1Martin Clayton2Indian Institute of Technology BombayIndian Institute of Technology BombayDurham UniversityManual gesture plays an important role in Indian classical singing, and one of its functions is to support, illustrate or communicate aspects of raga melody. We explore the relationship between hand movements and melodic elements in Indian classical vocal performances, using kinematic data to classify stable notes and raga-specific phrases. Our findings reveal consistent gestural patterns across singers, with potential applications in gesture-based music analysis.https://account.transactions.ismir.net/index.php/up-j-tismir/article/view/211melodic similarityunsupervised segmentationgesture correspondence |
spellingShingle | Shreyas Nadkarni Preeti Rao Martin Clayton Identifying Melodic Motifs and Stable Notes from Gestural Information in Indian Vocal Performances Transactions of the International Society for Music Information Retrieval melodic similarity unsupervised segmentation gesture correspondence |
title | Identifying Melodic Motifs and Stable Notes from Gestural Information in Indian Vocal Performances |
title_full | Identifying Melodic Motifs and Stable Notes from Gestural Information in Indian Vocal Performances |
title_fullStr | Identifying Melodic Motifs and Stable Notes from Gestural Information in Indian Vocal Performances |
title_full_unstemmed | Identifying Melodic Motifs and Stable Notes from Gestural Information in Indian Vocal Performances |
title_short | Identifying Melodic Motifs and Stable Notes from Gestural Information in Indian Vocal Performances |
title_sort | identifying melodic motifs and stable notes from gestural information in indian vocal performances |
topic | melodic similarity unsupervised segmentation gesture correspondence |
url | https://account.transactions.ismir.net/index.php/up-j-tismir/article/view/211 |
work_keys_str_mv | AT shreyasnadkarni identifyingmelodicmotifsandstablenotesfromgesturalinformationinindianvocalperformances AT preetirao identifyingmelodicmotifsandstablenotesfromgesturalinformationinindianvocalperformances AT martinclayton identifyingmelodicmotifsandstablenotesfromgesturalinformationinindianvocalperformances |