Machine Annotation of Traditional Irish Dance Music

The work presented in this thesis is validated in experiments using 130 realworld field recordings of traditional music from sessions, classes, concerts and commercial recordings. Test audio includes solo and ensemble playing on a variety of instruments recorded in real-world settings such as noisy public sessions. Results are reported using standard measures from the field of information retrieval (IR) including accuracy, error, precision and recall and the system is compared to alternative approaches for CBMIR common in the literature

TUNEPAL- DISSEMINATING A MUSIC INFORMATION RETRIEVAL SYSTEM TO THE TRADITIONAL IRISH MUSIC COMMUNITY

In this paper we present two new query-by-playing (QBP) music information retrieval (MIR) systems aimed at musicians playing traditional Irish dance music. Firstly, a browser hosted system- tunepal.org is presented. Secondly, we present Tunepal for iPhone/iPod touch devices- a QBP system that can be used in situ in traditional music sessions. Both of these systems use a backend corpus of 13,290 tunes drawn from community sources and “standard ” references. These systems have evolved from academic research to become popular tools used by musicians around the world. 16,064 queries have been logged since the systems were launched on 31 July