Understanding optical music recognition
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 …
referred to as Optical Music Recognition (OMR). However, this field is still difficult to access …
Cross-modal music retrieval and applications: An overview of key methodologies
There has been a rapid growth of digitally available music data, including audio recordings,
digitized images of sheet music, album covers and liner notes, and video clips. This huge …
digitized images of sheet music, album covers and liner notes, and video clips. This huge …
End-to-end neural optical music recognition of monophonic scores
J Calvo-Zaragoza, D Rizo - Applied Sciences, 2018 - mdpi.com
Optical Music Recognition is a field of research that investigates how to computationally
decode music notation from images. Despite the efforts made so far, there are hardly any …
decode music notation from images. Despite the efforts made so far, there are hardly any …
The MUSCIMA++ dataset for handwritten optical music recognition
Optical Music Recognition (OMR) promises to make accessible the content of large amounts
of musical documents, an important component of cultural heritage. However, the field does …
of musical documents, an important component of cultural heritage. However, the field does …
A baseline for general music object detection with deep learning
Deep learning is bringing breakthroughs to many computer vision subfields including
Optical Music Recognition (OMR), which has seen a series of improvements to musical …
Optical Music Recognition (OMR), which has seen a series of improvements to musical …
End-to-end optical music recognition for pianoform sheet music
End-to-end solutions have brought about significant advances in the field of Optical Music
Recognition. These approaches directly provide the symbolic representation of a given …
Recognition. These approaches directly provide the symbolic representation of a given …
[PDF][PDF] Camera-PrIMuS: Neural End-to-End Optical Music Recognition on Realistic Monophonic Scores.
J Calvo-Zaragoza, D Rizo - ISMIR, 2018 - academia.edu
The optical music recognition (OMR) field studies how to automate the process of reading
the musical notation present in a given image. Among its many uses, an interesting scenario …
the musical notation present in a given image. Among its many uses, an interesting scenario …
[PDF][PDF] Learning Audio-Sheet Music Correspondences for Cross-Modal Retrieval and Piece Identification.
This work addresses the problem of matching musical audio directly to sheet music, without
any higherlevel abstract representation. We propose a method that learns joint embedding …
any higherlevel abstract representation. We propose a method that learns joint embedding …
Investigating style evolution of Western classical music: A computational approach
In musicology, there has been a long debate about a meaningful partitioning and description
of music history regarding composition styles. Particularly, concepts of historical periods …
of music history regarding composition styles. Particularly, concepts of historical periods …
Practical end-to-end optical music recognition for pianoform music
The majority of recent progress in Optical Music Recognition (OMR) has been achieved with
Deep Learning methods, especially models following the end-to-end paradigm that read …
Deep Learning methods, especially models following the end-to-end paradigm that read …