Jordanous, Anna (2007) Score following: An artificially intelligent musical accompanist. Master of Science (MSc) thesis, University of Edinburgh, UK.. (KAR id:42369)
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Abstract
Score Following is the process by which a musician can be tracked through their performance
of a piece, for the purpose of accompanying the musician with the appropriate
notes. This tracking is done by following the progress of the musician through the
score (written music) of the piece, using observations of the notes they are playing.
Artificially intelligent musical accompaniment is where a human musician is accompanied
by a computer musician. The computer musician is able to produce musical
accompaniment that relates musically to the human performance.
Hidden Markov Models (HMMs) are a stochastic modelling tool that can be used
to represent real-world systems in a variety of domains.
This project discusses how HMMs can be used in the domain of Score Following
and describes the construction and evaluation of a score following system that
uses HMMs to implement score following. It explores the hypothesis that using an
HMM to represent a musical score is an efficient and practical way to implement score
following, and that in particular this method is suitable for providing real-time accompaniment
to a human performer.
The score followers developed during this project are tested and compared against
other score following systems and against human musicians. The resulting performances
support the project hypothesis to a large extent.
Item Type: | Thesis (Master of Science (MSc)) |
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Subjects: |
M Music and Books on Music > M Music Q Science > Q Science (General) > Q335 Artificial intelligence Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.76 Computer software > QA76.76.I59 Interactive media, hypermedia Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.9.H85 Human computer interaction |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
Depositing User: | Anna Jordanous |
Date Deposited: | 20 Aug 2014 09:49 UTC |
Last Modified: | 16 Nov 2021 10:16 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/42369 (The current URI for this page, for reference purposes) |
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