For over 50 years, researchers have been trying to teach computers to read music notation,
referred to as Optical Music Recognition (OMR). However, this field is still difficult to access …

In ancient times, there was no system to record or document music. A basic notation system
to write European music was formulated around 14th century in the Baroque period which …

We present the DeepScores dataset with the goal of advancing the state-of-the-art in small
object recognition by placing the question of object recognition in the context of scene …

Abstract The Layout Analysis (LA) stage is of vital importance to the correct performance of
an Optical Music Recognition (OMR) system. It identifies the regions of interest, such as …

In this work, we present an approach for the task of optical music recognition (OMR) using
deep neural networks. Our intention is to simultaneously detect and categorize musical …

ABSTRACT Optical Music Recognition (OMR) has become a popular technology to retrieve
information present in musical scores in conjunction with the increasing improvement of …

The transcription process from early and modern notation manuscripts to a structured digital
encoding has been traditionally performed following a fully manual workflow. At most it has …

Optical music recognition is a research field whose efforts have been mainly focused, due to
the difficulties involved in its processes, on document and image recognition. However …

The main challenges of Optical Music Recognition (OMR) come from the nature of written
music, its complexity and the difficulty of finding an appropriate data representation. This …

Handwritten music symbol recognition is considered by the research fraternity as a critical
research problem. It becomes more critical when the symbols are collected from handwritten …