Detection of changes in patterns of brain activity according to musical tonality

Tom Diethe*, Simon Durrant, John Shawe-Taylor, Heinrich Neubauer

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

Abstract

A common structural element of Western tonal music is the change of key within a melodic sequence. The present paper examines data from a set of experiments that were conducted to analyse human perception of different modulations of key. EEG recordings were taken of participants who were given melodic sequences containing changes in key of varying distances, as well as atonal sequences, with a behavioural task of identifying the change in key. Analysis of EEG involved derivation of 122120 separate dependent variables (features), including measures such as inter-electrode spectral power, coherence, and phase. The paper presents a novel method of performing semantic dimension reduction that produces a representation enabling high accuracy identification of out-of-subject tonal verses atonal sequences.

Original languageEnglish
Title of host publicationProceedings of the IASTED International Conference on Artificial Intelligence and Applications, AIA 2009
Pages12-17
Number of pages6
Publication statusPublished - 2009
EventIASTED International Conference on Artificial Intelligence and Applications, AIA 2009 - Innsbruck, Austria
Duration: 16 Feb 200918 Feb 2009

Conference

ConferenceIASTED International Conference on Artificial Intelligence and Applications, AIA 2009
CountryAustria
CityInnsbruck
Period16/02/0918/02/09

Structured keywords

  • Digital Health

Keywords

  • EEG
  • KCCA
  • Machine learning
  • Music
  • Tonality

Fingerprint Dive into the research topics of 'Detection of changes in patterns of brain activity according to musical tonality'. Together they form a unique fingerprint.

Cite this