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 …
Giantmidi-piano: A large-scale midi dataset for classical piano music
Symbolic music datasets are important for music information retrieval and musical analysis.
However, there is a lack of large-scale symbolic datasets for classical piano music. In this …
However, there is a lack of large-scale symbolic datasets for classical piano music. In this …
[图书][B] The geometry of musical rhythm: what makes a" good" rhythm good?
GT Toussaint - 2019 - books.google.com
The original edition of The Geometry of Musical Rhythm was the first book to provide a
systematic and accessible computational geometric analysis of the musical rhythms of the …
systematic and accessible computational geometric analysis of the musical rhythms of the …
Optical music recognition: state-of-the-art and open issues
A Rebelo, I Fujinaga, F Paszkiewicz… - International Journal of …, 2012 - Springer
For centuries, music has been shared and remembered by two traditions: aural transmission
and in the form of written documents normally called musical scores. Many of these scores …
and in the form of written documents normally called musical scores. Many of these scores …
A first look at user activity on tinder
Mobile dating apps have become a popular means to meet potential partners. Although
several exist, one recent addition stands out amongst all others. Tinder presents its users …
several exist, one recent addition stands out amongst all others. Tinder presents its users …
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 …
CVC-MUSCIMA: a ground truth of handwritten music score images for writer identification and staff removal
The analysis of music scores has been an active research field in the last decades.
However, there are no publicly available databases of handwritten music scores for the …
However, there are no publicly available databases of handwritten music scores for the …
State-of-the-art model for music object recognition with deep learning
Z Huang, X Jia, Y Guo - Applied Sciences, 2019 - mdpi.com
Optical music recognition (OMR) is an area in music information retrieval. Music object
detection is a key part of the OMR pipeline. Notes are used to record pitch and duration and …
detection is a key part of the OMR pipeline. Notes are used to record pitch and duration and …
Towards a standard testbed for optical music recognition: Definitions, metrics, and page images
D Byrd, JG Simonsen - Journal of New Music Research, 2015 - Taylor & Francis
We posit that progress in Optical Music Recognition (OMR) has been held up for years by
the absence of anything resembling the standard testbeds in use in other fields that face …
the absence of anything resembling the standard testbeds in use in other fields that face …