Dilemmadata: On the Interoperability of Heterogeneous Roman Numeral Datasets

Abstract

Dilemmadata aligns AugmentedNet and the Distant Listening Corpus in a common note-wise format while retaining alternate analyses for shared pieces.

Publication
Proceedings of the Music Encoding Conference
Emmanouil Karystinaios
Emmanouil Karystinaios
Senior Machine Learning Engineer and Postdoctoral Researcher

I work in music information retrieval as a Senior Machine Learning Engineer at Muse Group and a part-time Postdoctoral Researcher at Johannes Kepler University Linz.