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Score following: An artificially intelligent musical accompanist

Jordanous, Anna (2007) Score following: An artificially intelligent musical accompanist. Master of Science (MSc) thesis, University of Edinburgh, UK.. (KAR id:42369)

Abstract

Score Following is the process by which a musician can be tracked through their performance

notes. This tracking is done by following the progress of the musician through the

Artificially intelligent musical accompaniment is where a human musician is accompanied

accompaniment that relates musically to the human performance.

to represent real-world systems in a variety of domains.

and describes the construction and evaluation of a score following system that

HMM to represent a musical score is an efficient and practical way to implement score

to a human performer.

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))
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: Faculties > Sciences > School of Computing > Computational Intelligence Group
Depositing User: Anna Jordanous
Date Deposited: 20 Aug 2014 09:49 UTC
Last Modified: 29 May 2019 12:55 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/42369 (The current URI for this page, for reference purposes)
Jordanous, Anna: https://orcid.org/0000-0003-2076-8642
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