Diethe, T., Durrant, Simon, Shaw-Taylor, J. and Neubauer, H. (2008) Semantic dimensionality reduction for the classification of EEG according to musical tonality. In: Twenty-Second Annual Conference on Neural Information Processing Systems, 8 - 10 December 2008, Vancouver, Canada.
| Documents |
| ||||
![[img]](http://eprints.lincoln.ac.uk/style/images/fileicons/application_pdf.png) |
PDF
Semantic_dimensionality_reduction_for_the_classification_of_EEG_according_to_musical_tonality_(Diethe_2008).pdf - Whole Document Restricted to Repository staff only 85kB |
| Item Type: | Conference or Workshop contribution (Paper) |
|---|---|
| Item Status: | Live Archive |
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 dimensionality reduction based on KCCA that produces a representation enabling high accuracy identification of out-ofsubject
tonal verses atonal sequences.
| Additional Information: | 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 dimensionality reduction based on KCCA that produces a representation enabling high accuracy identification of out-ofsubject tonal verses atonal sequences. |
|---|---|
| Keywords: | semantic dimensionality reduction, tonality, EEG |
| Subjects: | C Biological Sciences > C800 Psychology C Biological Sciences > C850 Cognitive Psychology |
| Divisions: | College of Social Science > School of Psychology |
| ID Code: | 4728 |
| Deposited On: | 13 Oct 2011 06:19 |
Repository Staff Only: item control page