| EPSRC Reference: |
GR/N63123/01 |
| Title: |
ALGORITHMS FOR MUSICAL PATTERN RECOGNITION AND EXTRACTION |
| Principal Investigator: |
Iliopoulos, Professor C |
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| Department: |
Computer Science |
| Organisation: |
Kings College London |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
01 October 2000 |
Ends: |
30 September 2001 |
Value (£): |
1,519
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| No relevance to Underpinning Sectors |
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Summary on Grant Application Form |
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There is an explosive increase in the electronic storage of music as Computer files. On the Internet a large number of Web sites are archiving Tune Collections. Music Libraries are currently in the process of converting their music scores into electronic format and even individual musicians are compiling personal tune collections with the use of sequencing and music notation packages. This 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 best 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? To answer these questions we are aiming to design efficient algorithms for computing repetitions in musical scores, delta and gamma approximate matching, approximate matching with k-differences using word level parallelism and poly phonic string matching.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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