The Challenge of Optical Music Recognition.
This article describes the challenges posed by optical music recognition – a topic in computer science that aims to convert scanned pages of music into an on-line format. First, the problem is described; then a generalised framework for software is presented that emphasises key stages that must be s...
| Publicado en: | Computers & the Humanities Vol. 35; no. 2; pp. 95 - 122 |
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| Autores principales: | , |
| Formato: | Artículo |
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Springer Nature
May2001
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=16898805&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 16898805 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00104817 CHM jtl: Computers & the Humanities issn: 00104817 maglogo: N pubinfo: dt: May2001 vid: 35 iid: 2 pid: 237 pub: Springer Nature artinfo: ui: 16898805 10.1023/A:1002485918032 ppf: 95 ppct: 27 formats: fmt: @attributes: type: P size: 194KB tig: atl: The Challenge of Optical Music Recognition. aug: au: Bainbridge, David Bell, Tim affil: Department of Computer Science, University of Waikato, Hamilton, New Zealand Department of Computer Science, University of Canterbury, Christchurch, New Zealand su: Music & science Science Music Computer science Comparative linguistics Information theory sug: subj: Music & science Science Music Computer science Comparative linguistics Information theory keyword: document image analysis musical data acquisition optical music recognition pattern recognition ab: This article describes the challenges posed by optical music recognition – a topic in computer science that aims to convert scanned pages of music into an on-line format. First, the problem is described; then a generalised framework for software is presented that emphasises key stages that must be solved: staff line identification, musical object location, musical feature classification, and musical semantics. Next, significant research projects in the area are reviewed, showing how each fits the generalised framework. The article concludes by discussing perhaps the most open question in the field: how to compare the accuracy and success of rival systems, highlighting certain steps that help ease the task. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Computers & the Humanities is a copyright of Springer, 2001. All Rights Reserved. item: Computers & the Humanities holder: Springer Nature dt: @attributes: year: 2001 holdings: @attributes: islocal: N |
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