Lyric Extraction and Recognition on Digital Images of Early Music Sources

Burgoyne, John Ashley; Ouyang, Yue; Himmelman, Tristan; Devaney, Johanna; Pugin, Laurent; Fujinaga, Ichiro (2009). Lyric Extraction and Recognition on Digital Images of Early Music Sources. In: 10th International Society for Music Information Retrieval Conference (ISMIR 2009) 10 (pp. 723-727). International Society for Music Information Retrieval

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Optical music recognition (OMR) is one of the most promising tools for generating large-scale, distributable libraries of musical data. Much OMR work has focussed on instrumental music, avoiding a special challenge vocal music poses for OMR: lyric recognition. Lyrics complicate the page layout, making it more difficult to identify the regions of the page that carry musical notation. Furthermore, users expect a complete OMR process for vocal
music to include recognition of the lyrics, reunification of syllables when they have been separated, and alignment of these lyrics with the recognised music. Unusual layouts and inconsistent practises for syllabification, however, make lyric recognition more challenging than traditional optical character recognition (OCR). This paper surveys historical approaches to lyric recognition, outlines open challenges, and presents a new approach to
extracting text lines in medieval manuscripts, one of the frontiers of OMR research today

Item Type:

Conference or Workshop Item (Paper)

Division/Institute:

06 Faculty of Humanities > Other Institutions > Walter Benjamin Kolleg (WBKolleg)

UniBE Contributor:

Pugin, Laurent Xavier

ISBN:

978-0-9813537-0-8

Publisher:

International Society for Music Information Retrieval

Language:

English

Submitter:

Laurent Xavier Pugin

Date Deposited:

24 Jun 2021 08:26

Last Modified:

24 Jun 2021 08:26

URI:

https://boris.unibe.ch/id/eprint/153528

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