Pattern Matching for the Tracking of Melodic Development

Adam Tee

Interdisciplinary Centre for Scientific Research in Music, University of Leeds
School of Electronic and Electrical Engineering, University of Leeds
LS2 9JT, UK
eenajtelectengleedsacuk

David Cooper

Interdisciplinary Centre for Scientific Research in Music, University of Leeds
Department of Music, University of Leeds
LS2 9JT, UK

Nicholas J. Bailey

Centre for Music Technology
Department of Electronics and Electrical Engineering
The Rankine Building
The University of Glasgow
Glasgow, G12 8LT

Des Mclernon

Interdisciplinary Centre for Scientific Research in Music, University of Leeds
School of Electronic and Electrical Engineering, University of Leeds
LS2 9JT, UK

Abstract:

In this paper we produce a synopsis of the currently used pattern matching techniques, discuss their features and propose additional musical features that should be considered when analysing melodies. Musical features considered include articulations, phrasing and dynamics.