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Dive into the research topics where Nicholas J. Bailey is active.

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Featured researches published by Nicholas J. Bailey.


Musicae Scientiae | 2013

Inferring musical structure through bodily gestures

Jennifer MacRitchie; Bryony Buck; Nicholas J. Bailey

Despite the idiosyncrasies present in bodily motion during musical performances, it is suggested that these movements are not incidental but instead contribute to the meaning of performed music. Nine pianists performing two Chopin Preludes are recorded using Vicon motion capture, in synchrony with audio and MIDI recordings. Using principal components analysis (PCA) on the recorded upper body motion, motion profiles for each pianist are formed from the weighted combinations of these components. This measure of global body movement produces a comparable measure across performers and pieces, whilst keeping the performers’ interpretative gestures in view of their whole concept of the piece intact. This study proposes that performers use these motions as a way of corporeally manifesting their interpretative choices. It is suggested that their overall body motion is underscored by such structures as interpreted from the written music. Results show evident underlying musical structure across performers’ motion profiles. These profiles are seen to be constructed from functions of harmonic and melodic relationships in the score. These findings hold significant implications for research into music perception, pedagogy and development of computational technologies for the analysis of music performance.


Journal of New Music Research | 2013

Efficient Tracking of Pianists’ Finger Movements

Jennifer MacRitchie; Nicholas J. Bailey

Abstract Pianist finger movement contains information about note preparation, accent information as well as personal identifiers. However, no system for detailed finger tracking presently exists that can also be used ecologically: at an acoustic piano whilst also incurring acceptably low disruption to the performance. An optical motion capture system is described using a monocular camera setup to track passive UV paint markers placed directly onto pianists’ fingers. Tracking accuracy and 3D estimation algorithms are evaluated. This low-cost, efficient system maximizes its uses in performance analysis experiments which are most importantly not confined to laboratory environments.


New Journal of Physics | 2012

Microrheology with optical tweezers: data analysis

Manlio Tassieri; R. M. L. Evans; Rebecca Warren; Nicholas J. Bailey; Jonathan M. Cooper


international computer music conference | 1990

On Mapping N Articulation Onto M Synthesiser-control Parameters

Ian Bowler; Alan Purvis; Peter Manning; Nicholas J. Bailey


international computer music conference | 1999

Embracing the Composer: Optical Recognition of Handwritten Manuscripts

Kia Ng; David Cooper; Ewan Stefani; Roger D. Boyle; Nicholas J. Bailey


international symposium/conference on music information retrieval | 2009

VISUALISING MUSICAL STRUCTURE THROUGH PERFORMANCE GESTURE

Jennifer MacRitchie; Bryony Buck; Nicholas J. Bailey


international computer music conference | 2008

The Rosegarden codicil: rehearsing music in nineteen-tone equal temperament

Nicholas J. Bailey; Douglas McGilvray; Graham Hair; Ingrid Pearson; Amanda Morrison; Richard Parncutt


international computer music conference | 2008

MUSIC AND GESTURE FILE: PERFORMANCE VISUALISATION, ANALYSIS, STORAGE AND EXCHANGE

Stuart Pullinger; Douglas McGilvray; Nicholas J. Bailey


international computer music conference | 1990

An Highly Parallel Architecture for Real-time Music Synthesis and Digital Signal Processing Application

Nicholas J. Bailey; Alan Purvis; Ian Bowler; Peter Manning


Archive | 2014

Using Acoustic Modelling to Design and Print a Microtonal Clarinet

Nicholas J. Bailey; Théo Cremel; Alexander South

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Graham Hair

Manchester Metropolitan University

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