State-of-the-art end-to-end Optical Music Recognition (OMR) has, to date, primarily been
carried out using monophonic transcription techniques to handle complex score layouts …

Computing edit distance for very long strings has been hampered by quadratic time
complexity with respect to string length. The WFA algorithm reduces the time complexity to a …

We address the problem of scalable content-based search in large collections of music
documents. Music content is highly complex and versatile and presents multiple facets that …

Abstract Modern-day Optical Music Recognition (OMR) is a fairly fragmented field. Most
OMR approaches use datasets that are independent and incompatible between each other …

Most Optical Music Recognition workflows include several steps to retrieve the content from
music score images. These steps typically comprise preprocessing, recognition, notation …

In this paper, we describe a workflow of successive corrections on Optical Music
Recognition (OMR) generated MusicXML files and their respective outputs under Music …

Optical music recognition is the field of research that investigates how to computationally
read musical documents. It offers powerful mechanisms for digitizing physical musical …

Optical music recognition (OMR) aims to convert music notation into digital formats. One
approach to tackle OMR is through a multi-stage pipeline, where the system first detects …

We present a new approach for the transcription of drum performances captured on a MIDI
drum kit into scores in conventional Western notation. It works by parsing an input MIDI …

Optical Music Recognition (OMR) is currently fragmented, with incompatible datasets and
methodologies making it difficult to combine or compare systems. This paper proposes the …