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The Clustering of Expressive Timing Within a Phrase in Classical Piano Performances by Gaussian Mixture Models

Li, S, Black, DAA and Plumbley, Mark (2016) The Clustering of Expressive Timing Within a Phrase in Classical Piano Performances by Gaussian Mixture Models In: 11th International Symposium on Computer Music Multidisciplinary Research (CMMR), 2015-06-16 - 2015-06-19, Plymouth, UK.

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Abstract

In computational musicology research, clustering is a common approach to the analysis of expression. Our research uses mathematical model selection criteria to evaluate the performance of clustered and non-clustered models applied to intra-phrase tempo variations in classical piano performances. By engaging different standardisation methods for the tempo variations and engaging different types of covariance matrices, multiple pieces of performances are used for evaluating the performance of candidate models. The results of tests suggest that the clustered models perform better than the non-clustered models and the original tempo data should be standardised by the mean of tempo within a phrase.

Item Type: Conference or Workshop Item (Conference Paper)
Subjects : Electronic Engineering
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
NameEmailORCID
Li, SUNSPECIFIEDUNSPECIFIED
Black, DAAUNSPECIFIEDUNSPECIFIED
Plumbley, Markm.plumbley@surrey.ac.ukUNSPECIFIED
Date : 23 September 2016
Identification Number : 10.1007/978-3-319-46282-0_21
Copyright Disclaimer : © 2015 Springer International Publishing AG
Contributors :
ContributionNameEmailORCID
UNSPECIFIEDAramaki, MUNSPECIFIEDUNSPECIFIED
UNSPECIFIEDKronland-Martinet, RUNSPECIFIEDUNSPECIFIED
UNSPECIFIEDYstad, SUNSPECIFIEDUNSPECIFIED
Uncontrolled Keywords : Intra-phrase tempo, Model analysis, Classical piano performance, Model selection criteria
Depositing User : Symplectic Elements
Date Deposited : 31 Oct 2016 15:43
Last Modified : 08 Aug 2017 08:45
URI: http://epubs.surrey.ac.uk/id/eprint/812692

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