Surface Electromyography for Direct Vocal Control
dc.contributor.author | Reed, C | |
dc.contributor.author | Mcpherson, A | |
dc.contributor.author | International Conference on New Interfaces for Musical Expression (NIME) | |
dc.date.accessioned | 2020-07-01T10:37:57Z | |
dc.date.available | 2020-03-30 | |
dc.date.available | 2020-07-01T10:37:57Z | |
dc.date.issued | 2020 | |
dc.identifier.uri | https://qmro.qmul.ac.uk/xmlui/handle/123456789/65364 | |
dc.description.abstract | This paper introduces a new method for direct control using the voice via measurement of vocal muscular activation with surface electromyography (sEMG). Digital musical interfaces based on the voice have typically used indirect control, in which features extracted from audio signals control the parameters of sound generation, for example in audio to MIDI controllers. By contrast, focusing on the musculature of the singing voice allows direct muscular control, or alternatively, combined direct and indirect control in an augmented vocal instrument. In this way we aim to both preserve the intimate relationship a vocalist has with their instrument and key timbral and stylistic characteristics of the voice while expanding its sonic capabilities. This paper discusses other digital instruments which effectively utilise a combination of indirect and direct control as well as a history of controllers involving the voice. Subsequently, a new method of direct control from physiological aspects of singing through sEMG and its capabilities are discussed. Future developments of the system are further outlined along with usage in performance studies, interactive live vocal performance, and educational and practice tools. | en_US |
dc.publisher | International Conference on New Interfaces for Musical Expression (NIME) | en_US |
dc.rights | This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. | |
dc.rights | Attribution 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/us/ | * |
dc.title | Surface Electromyography for Direct Vocal Control | en_US |
dc.type | Conference Proceeding | en_US |
dc.rights.holder | © 2020 The Author(s) | |
pubs.notes | Not known | en_US |
pubs.publication-status | Accepted | en_US |
dcterms.dateAccepted | 2020-03-30 | |
rioxxterms.funder | Default funder | en_US |
rioxxterms.identifier.project | Default project | en_US |
qmul.funder | Design for Virtuosity: Modelling and Supporting Expertise in Digital Musical Interaction::Engineering and Physical Sciences Research Council | en_US |
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Except where otherwise noted, this item's license is described as This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.