A paper on melodic similarity in flamenco, co-authored by Emilia Gómez, has been published at the Journal of New Music Research, and is not available online.
This work focuses on the topic of melodic characterization and similarity in a specific musical repertoire: a cappella flamenco singing, more specifically in debla and martinete styles. We propose the combination of manual and automatic description. First, we use a state-of-the-art automatic transcription method to account for general melodic similarity from music recordings. Second, we define a specific set of representative mid-level melodic features, which are manually labelled by flamenco experts. Both approaches are then contrasted and combined into a global similarity measure. This similarity measure is assessed by inspecting the clusters obtained through phylogenetic algorithms and by relating similarity to categorization in terms of style. Finally, we discuss the advantage of combining automatic and expert annotations as well as the need to include repertoire-specific descriptions for meaningful melodic characterization in traditional music collections.
This is the result of a joint work of the COFLA project, where the MTG is contributing with tecnologies for the automatic transcription and melody description of music recordings.
This is a video example of the type of styles we analyze in this paper, done by Nadine Kroher last year:
You can read the full paper online: