Training expressive performance by means of visual feedback existing and potential applications of performance measurement techniques

Authors
Publication date 2014
Host editors
  • D. Fabian
  • R. Timmers
  • E. Schubert
Book title Expressiveness in music performance
Book subtitle Empirical approaches across styles and cultures
ISBN
  • 9780199659647
Pages (from-to) 304-327
Publisher Oxford University Press
Organisations
  • Interfacultary Research - Institute for Logic, Language and Computation (ILLC)
Abstract
This chapter explores current use of automated feedback techniques among musicians, and the anticipated usefulness of such systems. It examines purpose-designed software available for performers, and then summarizes the results of experimental investigations of the effectiveness of feedback systems in enhancing practicing to perform musical excerpts in various expressive manners. The methodological challenges of designing a program that can be applied in a general manner without biasing practice and performance are discussed. Promising avenues are suggested—for example, by making feedback summative rather than real-time, and based on probabilistic learning from target examples. In addition, the training may be to widely explore performance expression rather than to reinforce through imitation. The survey discussed indicates that if a user-friendly, reliable, and non-biasing product is realized, it is very likely to be adopted for a multitude of reasons, including feedback on ensemble timing, expressive interpretation, and aspects of performance control.
Document type Chapter
Language English
Published at https://doi.org/10.1093/acprof:oso/9780199659647.003.0017
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