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Details of Grant 

EPSRC Reference: GR/S17253/01
Title: Algorithms for Musical Pattern Recognition and Extraction
Principal Investigator: Wiggins, Professor GA
Other Investigators:
Researcher Co-Investigators:
Professor T Crawford Professor C Iliopoulos
Project Partners:
Department: Computing
Organisation: City, University of London
Scheme: Standard Research (Pre-FEC)
Starts: 01 May 2003 Ends: 31 August 2004 Value (£): 243,962
EPSRC Research Topic Classifications:
Fundamentals of Computing
EPSRC Industrial Sector Classifications:
No relevance to Underpinning Sectors
Related Grants:
Panel History:  
Summary on Grant Application Form
The recent explosive increase in the electronic storage of music as computer files, especially on the Internet, gives rise to the need to design new computer methods to answer questions like: How can we retrieve a specific tune among a large number of musical scores? What is the test way of identifying a melody? How can we find musical works that contain a certain motivic pattern or theme? How can significant, recurring musical patterns be automatically extracted from a score and then used for indexing purposes?We are aiming to design and implement efficient algorithms for several variants of monophonic and polyphonic motif matching in musical sequences. In particular we will design new methods for multi-dimensional approximate motif matching, in order to deal with the presence of errors in musical sequences, compact motif matching in order to deal with temporal gaps, and in order to improve the quality of matches we will develop special methods for rhythmic similarity motif matching, metrical congruity motif matching, salient motif matching and harmonic progression motif matching.
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Organisation Website: http://www.city.ac.uk