View Proposal

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Proposer

Adam Sampson

Title

Better folk music metadata for MusicBrainz

Goal

Automatically identify traditional tunes and songs and add metadata to the MusicBrainz database

Description

If you don't like folk music, this is not the project for you. MusicBrainz is an openly-licensed public database of metadata about recoirded music - it's used by the BBC, for example, to provide various kinds of information about music on their web site. I'd like it to have better metadata for traditional/folk music - for example, cross-referencing songs to catalogues such as the Roud catalogue (songs) or thesession.org (tunes). Some of this information has been added manually, but you should be able to identify likely recordings of particular pieces based on their names and performers... and perhaps based on audio fingerprinting? (I am not interested in generative AI approaches to this project, but data mining may be worth investigating.)

Resources

Background

Url

Difficulty Level

Moderate

Ethical Approval

None

Number Of Students

1

Supervisor

Adam Sampson

Keywords

music, metadata, audio analysis

Degrees

Bachelor of Science in Computer Science
Bachelor of Science in Computer Systems
Bachelor of Science in Information Systems
Master of Engineering in Software Engineering
Master of Design in Games Design and Development
Master of Science in Business Information Management
Master of Science in Computer Systems Management
Master of Science in Computing (2 Years)
Master of Science in Data Science
Master of Science in Information Technology (Business)
Master of Science in Information Technology (Software Systems)
Master of Science in Robotics
Master of Science in Software Engineering
Bachelor of Science in Computing Science
Bachelor of Engineering in Robotics
Bachelor of Science in Computer Science (Cyber Security)