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	Author	Arnau Baro; Carles Badal; Pau Torras; Alicia Fornes
	Title	Handwritten Historical Music Recognition through Sequence-to-Sequence with Attention Mechanism			Type	Conference Article
	Year	2022	Publication	3rd International Workshop on Reading Music Systems (WoRMS2021)	Abbreviated Journal
	Volume		Issue		Pages	55-59
	Keywords	Optical Music Recognition; Digits; Image Classification
	Abstract	Despite decades of research in Optical Music Recognition (OMR), the recognition of old handwritten music scores remains a challenge because of the variabilities in the handwriting styles, paper degradation, lack of standard notation, etc. Therefore, the research in OMR systems adapted to the particularities of old manuscripts is crucial to accelerate the conversion of music scores existing in archives into digital libraries, fostering the dissemination and preservation of our music heritage. In this paper we explore the adaptation of sequence-to-sequence models with attention mechanism (used in translation and handwritten text recognition) and the generation of specific synthetic data for recognizing old music scores. The experimental validation demonstrates that our approach is promising, especially when compared with long short-term memory neural networks.
	Address	July 23, 2021, Alicante (Spain)
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Area		Expedition		Conference	WoRMS
	Notes	DAG; 600.121; 600.162; 602.230; 600.140			Approved	no
	Call Number	Admin @ si @ BBT2022			Serial	3734
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