Filters








1,446 Hits in 3.7 sec

Gocen: Appropriating Simpl ified Handwritten Notation as a Musical Interface

Tetsuaki Baba, Yuya Kikukawa, Kumiko Kushiyama
2014 International Journal of Asia Digital Art and Design Association  
Through users tests and user observations, we shall report our system has high accurate image recognition for handwritten notation and is success to help users to create music along with our design criteria  ...  In this article, we shall propose the system that enables users to play their handwritten musical notations by our musical interface.  ...  On the user test, we found expected high recognition accuracy of pitch and accidentals, because of simplification of handwritten notation.  ... 
doi:10.20668/adada.18.2_24 fatcat:iraosuew5rgldmcqcmvadanyda

Recognition of Pen-Based Music Notation: The HOMUS Dataset

Jorge Calvo-Zaragoza, Jose Oncina
2014 2014 22nd International Conference on Pattern Recognition  
It is expected that this work can establish a binding point in the field of recognition of online handwritten music notation and serve as a baseline for future developments.  ...  To solve this situation, this work presents the Handwritten Online Musical Symbols (HOMUS) dataset, which consists of 15200 samples of 32 types of musical symbols from 100 different musicians.  ...  The authors are grateful to all the people who collaborate in the creation of the dataset.  ... 
doi:10.1109/icpr.2014.524 dblp:conf/icpr/Calvo-ZaragozaO14 fatcat:tdddzk5yjrgkzlbdaio3z6ngoq

From Optical Music Recognition to Handwritten Music Recognition: a Baseline

Arnau Baró, Pau Riba, Jorge Calvo-Zaragoza, Alicia Fornés
2019 Pattern Recognition Letters  
Despite decades of research, the recognition of handwritten music scores, concretely the Western notation, is still an open problem, and the few existing works only focus on a specific stage of OMR.  ...  Optical Music Recognition (OMR) is the branch of document image analysis that aims to convert images of musical scores into a computer-readable format.  ...  We gratefully acknowledge the support of NVIDIA Corporation with the donation of the Titan Xp GPU used for this research.  ... 
doi:10.1016/j.patrec.2019.02.029 fatcat:gdkml2i23nabfff5yfajdtof24

Optical Music Recognition: State of the Art and Major Challenges [article]

Elona Shatri, György Fazekas
2020 arXiv   pre-print
Optical Music Recognition (OMR) is concerned with transcribing sheet music into a machine-readable format.  ...  OMR facilitates examining sheet music statistically or searching for patterns of notations, thus helping use cases in digital musicology too.  ...  Acknowledgments The authors acknowledge the support of the AI and Music CDT, funded by UKRI and EPSRC under grant agreement no.  ... 
arXiv:2006.07885v2 fatcat:pfyxmeot6fc6vemd7q3dpeq3we

Primitive Segmentation in Old Handwritten Music Scores [chapter]

Alicia Fornés, Josep Lladós, Gemma Sánchez
2006 Lecture Notes in Computer Science  
The recognition of such these old scores is more difficult due to paper degradation and the lack of a standard in musical notation.  ...  Optical Music Recognition consists in the identification of music information from images of scores.  ...  Acknowledgements We would like to thank Josep Maria Gregori Cifré from Art Department of UAB for his help in accessing to old resources of archive of Seminar of Barcelona.  ... 
doi:10.1007/11767978_25 fatcat:na3nnldhkzhszi46kp6ui6nefa

Optical Music Recognition: State of the Art and Major Challenges

Elona Shatri, György Fazekas
2020 Zenodo  
Optical Music Recognition (OMR) is concerned with transcribing sheet music into a machine-readable format.  ...  OMR facilitates examining sheet music statistically or searching for patterns of notations, thus helping use cases in digital musicology too.  ...  Acknowledgments The authors acknowledge the support of the AI and Music CDT, funded by UKRI and EPSRC under grant agreement no.  ... 
doi:10.5281/zenodo.4105964 fatcat:h7yjq45ijva4pmwtptdiqbcxmi

Optical music recognition: state-of-the-art and open issues

Ana Rebelo, Ichiro Fujinaga, Filipe Paszkiewicz, Andre R. S. Marcal, Carlos Guedes, Jaime S. Cardoso
2012 International Journal of Multimedia Information Retrieval  
This article provides an overview of the literature concerning the automatic analysis of images of printed and handwritten musical scores.  ...  Programs analogous to optical character recognition systems called optical music recognition (OMR) systems have been under intensive development for many years.  ...  [83] presented pattern recognition studies applied to music notation. Jones et al.  ... 
doi:10.1007/s13735-012-0004-6 fatcat:bdzaxwyzcvgajhz3nsk26zbwfa

Towards Full-Pipeline Handwritten OMR with Musical Symbol Detection by U-Nets

Jan Hajič, Matthias Dorfer, Gerhard Widmer, Pavel Pecina
2018 Zenodo  
Detecting music notation symbols is the most immediate unsolved subproblem in Optical Music Recognition for musical manuscripts.  ...  We then integrate the networks into an OMR pipeline by applying a subsequent notation assembly stage, establishing a new baseline result for pitch inference in handwritten music at an f-score of 0.81.  ...  INTRODUCTION Optical Music Recognition (OMR), the field of automatically reading music notation from images, has long held the significant promise for music information retrieval of making a great diversity  ... 
doi:10.5281/zenodo.1492388 fatcat:572s5tw7nbc3ngo7qnmns2ynsi

Optical recognition of music symbols

A. Rebelo, G. Capela, Jaime S. Cardoso
2009 International Journal on Document Analysis and Recognition  
However, and despite the many research activities on optical music recognition (OMR), the results for handwritten musical scores are far from ideal.  ...  We present in this article a comparative study of several recognition algorithms of music symbols.  ...  It is our intention, in future work, to incorporate the prior knowledge of the musical rules in the recognition of symbols.  ... 
doi:10.1007/s10032-009-0100-1 fatcat:4ujsn3wrvjdztllvs3q43xkiye

On the Integration of Language Models into Sequence to Sequence Architectures for Handwritten Music Recognition

Pau Torras, Arnau Baró, Lei Kang, Alicia Fornés
2021 Zenodo  
Despite the latest advances in Deep Learning, the recognition of handwritten music scores is still a challenging endeavour.  ...  Indeed, the ambiguous nature of handwriting, the non-standard musical notation employed by composers of the time and the decaying state of old paper make these scores remarkably difficult to read, sometimes  ...  We gratefully acknowledge the support of NVIDIA Corporation with the donation of the Titan Xp GPU used for this research.  ... 
doi:10.5281/zenodo.5624451 fatcat:hr7x55idwfaphnj5dpcllmlbui

In Search of a Dataset for Handwritten Optical Music Recognition: Introducing MUSCIMA++ [article]

Jan Hajič jr., Pavel Pecina
2017 arXiv   pre-print
addresses musical symbol recognition and notation reconstruction.  ...  The MUSCIMA++ dataset version 0.9 consists of 140 pages of handwritten music, with 91255 manually annotated notation symbols and 82261 explicitly marked relationships between symbol pairs.  ...  ACKNOWLEDGMENT First of all, we thank our annotators, who did much of the tedious work.  ... 
arXiv:1703.04824v1 fatcat:agqmuio2ebdm7gwppuga2sw6im

Music alphabet for low-resolution touch displays

Ondřej Poláček, Adam J. Sporka, Pavel Slavík
2009 Proceedings of the International Conference on Advances in Computer Enterntainment Technology - ACE '09  
Our alphabet is based on simplification of the common Western music notation symbols, making them easier to write on PDA while retaining their overall feel.  ...  of music.  ...  The handwritten music systems recognize conventional or slightly modified music notation symbols, where each symbol can be composed of several strokes.  ... 
doi:10.1145/1690388.1690441 dblp:conf/ACMace/PolacekSS09 fatcat:uc63h4cctvgfnfpn375lancs4q

DoReMi: First glance at a universal OMR dataset [article]

Elona Shatri, György Fazekas
2021 arXiv   pre-print
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.  ...  DoReMi was generated using a music notation software and includes over 6400 printed sheet music images with accompanying metadata useful in OMR research.  ...  ACKNOWLEDGEMENT The authors acknowledge the support of the AI and Music CDT, funded by UKRI and EPSRC under grant agreement no.  ... 
arXiv:2107.07786v1 fatcat:djcm72mfkffwvfu5eoqzx26wyi

Deep Watershed Detector for Music Object Recognition [article]

Lukas Tuggener, Ismail Elezi, Jurgen Schmidhuber, Thilo Stadelmann
2018 arXiv   pre-print
We present state-of-the-art detection results of common music symbols and show DWD's ability to work with synthetic scores equally well as on handwritten music.  ...  Optical Music Recognition (OMR) is an important and challenging area within music information retrieval, the accurate detection of music symbols in digital images is a core functionality of any OMR pipeline  ...  MUSCIMA++ is a dataset of handwritten music notation for musical symbol detection.  ... 
arXiv:1805.10548v1 fatcat:n47wyiai2zdnxc2pvg5g7pwskq

Clustering of Strokes from Pen-Based Music Notation: An Experimental Study [chapter]

Jorge Calvo-Zaragoza, Jose Oncina
2015 Lecture Notes in Computer Science  
Since recognition of pen-based music scores is highly related to stroke recognition, it may be profitable to repeat the process when new data is received through user interaction.  ...  A comfortable way of digitizing a new music composition is by using a pen-based recognition system, in which the digital score is created with the sole effort of the composition itself.  ...  The process of recognizing handwritten music notation is very related to other pattern recognition fields, especially that of Optical Character Recognition (OCR).  ... 
doi:10.1007/978-3-319-19390-8_71 fatcat:3bwni7bu65ds3hjcke42li2ncu
« Previous Showing results 1 — 15 out of 1,446 results