How can Machine Learning make Optical Music Recognition more relevant for practicing musicians?

Heinz Roggenkemper, Ryan Roggenkemper

Abstract: We describe our experience with building a simple optical music recognition system using machine learning, continue with what we believe the user wants, followed by how machine learning can contribute with better models and through community involvement, and final thoughts.

Keywords: optical music recognition, machine learning, user expectations, community involvement

TL;DR: Community involvement (musician and machine learning) is key for OMR relevance