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Effort in Hindustani Dhrupad Singing: Using Interviews to Develop Effort Inference Models of Acoustic and Movement Features

Published online by Cambridge University Press:  18 September 2024

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Abstract

This article sets out the results of research into effort in Dhrupad, a genre of Hindustani music. I examine gestural interactions with imaginary objects that vocalists outline when engaging with melodies. The study takes an embodied cognition stance and applies thematic analysis and inductive coding to original interviews with Dhrupad musicians in India, the UK, and the Netherlands. My findings demonstrate that from the singers’ cognitive perspectives, their hand movements are deeply connected to their voices. I also offer insights on the relationships between bodily movement, sound, and imagery that are used to inform the development of effort inference models.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of the International Council for Traditions of Music and Dance
Figure 0

Figure 1. Maestro Zia Fariduddin Dagar in his music school in Palaspe, India, in 2012, exhibited similar gestures to the ones that first drew my attention. Snapshot at 17:56 taken from video recording. Reproduced with permission from Caro (2012).

Figure 1

Figure 2. Examples of MIIOs during interviews: (a) Gundecha, (b) Sahu, (c) Hussain, (d) Dagar, (e) Bhawalkar, and (f) Svašek. Except for (d) and (e), images were taken from night shot (infrared) video recordings that were made in low lighting conditions due to the sensitivity of the optical motion capture system.

Figure 2

Figure 3. Table capturing discourse themes and codes of objects and performer-object interactions.