The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

edgerton_michael

Michael Edgerton

Professor

edgerton_michael

The Extra-Normal Voice

Author

  • Michael Edgerton

Editor

  • Graham Welch
  • David Howard
  • John Nix

Summary, in English

This chapter presents an overview of new developments in vocal exploration. Beginning with a discussion of multiple parameters involved in voice production, this chapter identifies the crucial role that non-linear phenomena has in the performance of the extra-normal voice. In this article, two related taxonomies are presented (source production related to degree of voicing; emphases within the acoustic framework of power, source, resonance, and articulation) that may be used as powerful generative tools for the production of multiple sound sources, filtering processes, and aerodynamic effects, etc. The paper then posits how scaled, multidimensional networks may be used to intelligently explore all elements of the acoustic sound production apparatus and not solely articulation, as is seen with some proponents of complex networks. In this discussion, it will be presented how fully scaling each parameter space will encompass far reaching benefits by engaging with little traversed regions of the total vocal topography.

Department/s

  • Teachers (Malmö Academy of Music)

Publishing year

2019

Language

English

Publication/Series

The Oxford Handbook of Singing

Document type

Book chapter

Publisher

Oxford University Press

Topic

  • Arts

Keywords

  • extra-normal voice
  • parameter space
  • vocal exploration
  • multiple sounds
  • multidimensional
  • scaling
  • non-linear phenomena

Status

Published

Project

  • voice research

ISBN/ISSN/Other

  • ISBN: 9780199660773