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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Main Authors: Shreyas Nadkarni, Preeti Rao, Martin Clayton
Format: Article
Language:English
Published: Ubiquity Press 2024-12-01
Series:Transactions of the International Society for Music Information Retrieval
Subjects:
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
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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
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AT preetirao identifyingmelodicmotifsandstablenotesfromgesturalinformationinindianvocalperformances
AT martinclayton identifyingmelodicmotifsandstablenotesfromgesturalinformationinindianvocalperformances