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| EPSRC Reference: |
GR/S17253/01 |
| Title: |
Algorithms for Musical Pattern Recognition and Extraction |
| Principal Investigator: |
Professor GA Wiggins |
| Other Investigators: |
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| Researcher Co-investigator: |
| Mr T Crawford |
Professor C Iliopoulos |
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| Project Partner: |
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| Department: |
Computing |
| Organisation: |
City University |
| Scheme: |
Standard Research |
| Starts: |
01 May 2003 |
Ends: |
31 August 2004 |
Value (£): |
243,962
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| EPSRC Research Topic Classifications: |
| Fundamentals of Computing |
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| EPSRC Industrial Sector Classifications: |
| No relevance to Underpinning Sectors |
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| Related Grants: |
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| Panel History: |
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Summary |
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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| Final Report Summary |
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No final report summary is available for this grant.
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| Further Information: |
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| Organisation Website: |
http://www.city.ac.uk |
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