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

Tom Diethe; Simon Durrant; John Shawe-Taylor; Heinrich Neubauer

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 proceeding › Conference 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 language	English
Title of host publication	Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, AIA 2009
Pages	12-17
Number of pages	6
Publication status	Published - 2009
Event	IASTED International Conference on Artificial Intelligence and Applications, AIA 2009 - Innsbruck, Austria Duration: 16 Feb 2009 → 18 Feb 2009

Conference

Conference	IASTED International Conference on Artificial Intelligence and Applications, AIA 2009
Country	Austria
City	Innsbruck
Period	16/02/09 → 18/02/09

Structured keywords

Digital Health

Keywords

EEG
KCCA
Machine learning
Music
Tonality

Access to Document

Link to publication in Scopus

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1 Finished

SPHERE (EPSRC IRC)
Craddock, I. J., Coyle, D. T., Flach, P. A., Kaleshi, D., Mirmehdi, M., Piechocki, R. J., Stark, B. H., Ascione, R., Ashburn, A. M., Burnett, M. E., Damen, D., Gooberman-Hill, R. J. S., Harwin, W. S., Hilton, G., Holderbaum, W., Holley, A. P., Manchester, V. A., Meller, B. J., Stack, E. & Gilchrist, I. D.
1/10/13 → 30/09/18
Project: Research, Parent

Cite this

@inproceedings{4705fa0bd6f24fac90615d979ecb7b04,

title = "Detection of changes in patterns of brain activity according to musical tonality",

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.",

keywords = "EEG, KCCA, Machine learning, Music, Tonality",

author = "Tom Diethe and Simon Durrant and John Shawe-Taylor and Heinrich Neubauer",

year = "2009",

language = "English",

isbn = "9780889867802",

pages = "12--17",

booktitle = "Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, AIA 2009",

note = "IASTED International Conference on Artificial Intelligence and Applications, AIA 2009 ; Conference date: 16-02-2009 Through 18-02-2009",

}

Diethe, T, Durrant, S, Shawe-Taylor, J & Neubauer, H 2009, Detection of changes in patterns of brain activity according to musical tonality. in Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, AIA 2009. pp. 12-17, IASTED International Conference on Artificial Intelligence and Applications, AIA 2009, Innsbruck, Austria, 16/02/09.

Detection of changes in patterns of brain activity according to musical tonality. / Diethe, Tom; Durrant, Simon; Shawe-Taylor, John; Neubauer, Heinrich.

Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, AIA 2009. 2009. p. 12-17.

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

TY - GEN

T1 - Detection of changes in patterns of brain activity according to musical tonality

AU - Diethe, Tom

AU - Durrant, Simon

AU - Shawe-Taylor, John

AU - Neubauer, Heinrich

PY - 2009

Y1 - 2009

N2 - 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.

AB - 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.

KW - EEG

KW - KCCA

KW - Machine learning

KW - Music

KW - Tonality

UR - http://www.scopus.com/inward/record.url?scp=74549156255&partnerID=8YFLogxK

M3 - Conference Contribution (Conference Proceeding)

AN - SCOPUS:74549156255

SN - 9780889867802

SP - 12

EP - 17

BT - Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, AIA 2009

T2 - IASTED International Conference on Artificial Intelligence and Applications, AIA 2009

Y2 - 16 February 2009 through 18 February 2009

ER -

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

Abstract

Conference

Structured keywords

Keywords

Access to Document

SPHERE (EPSRC IRC)

Cite this