From Prediction to Collaboration: Interactive Symbolic Music Analysis

Abstract

RNHybrid combines contextual score representations with graph modeling to predict Roman numerals, complete partial annotations, and revise selected passages while holding trusted labels fixed.

Publication
Proceedings of the 27th International Society for Music Information Retrieval 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.