A system for automatically annotating traditional Irish music field recordings

Bryan Duggan, Brendan O'Shea, Pádraig Cunningham

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents MATT2 (Machine Annotation of Traditional Tunes). MATT2 is a novel system which can automatically annotate field recordings of traditional Irish music with useful metadata such as tune name, key signature, time signature, composer and discography. MATT2 works by using a number of algorithms to automatically transcribe digital audio to be annotated to the ABC music notation language. It then compares these transcriptions against a corpus of 860 human made transcriptions in ABC using a variation of the edit distance algorithm. Results using MATT2 to annotate fifty recordings of flute and fiddle tunes demonstrate a high success rate at annotating recordings made by different musicians. Additionally, several of the recordings successfully annotated in testing MATT2 were recorded in imperfect conditions, with badly degraded audio.

Original languageEnglish
Title of host publication2008 International Workshop on Content-Based Multimedia Indexing, CBMI 2008, Conference Proceedings
Pages25-32
Number of pages8
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event2008 International Workshop on Content-Based Multimedia Indexing, CBMI 2008 - London, United Kingdom
Duration: 18 Jun 200820 Jun 2008

Publication series

Name2008 International Workshop on Content-Based Multimedia Indexing, CBMI 2008, Conference Proceedings

Conference

Conference2008 International Workshop on Content-Based Multimedia Indexing, CBMI 2008
Country/TerritoryUnited Kingdom
CityLondon
Period18/06/0820/06/08

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