Improving OMR for digital music libraries with multiple recognisers and multiple sources

Padilla Martin-Caro, Victor and Marsden, Alan and McLean, Alex and Ng, Kia (2014) Improving OMR for digital music libraries with multiple recognisers and multiple sources. In: DLfM '14 Proceedings of the 1st International Workshop on Digital Libraries for Musicology. ACM, GBR, pp. 1-8. ISBN 9781450330022

Full text not available from this repository.

Abstract

Large quantities of scanned music are now available in public digital music libraries. However, the information in such sources is represented as pixel data in images rather than symbolic information about the notes of a piece of music, and therefore it is opaque to musically meaningful computational processes (e.g., to search for a particular melodic pattern). Optical Music Recognition (Optical Character Recognition for music) holds out the prospect of a solution to this issue and allowing access to very large quantities of musical information in digital libraries. Despite the efforts made by the different commercial OMR developers to improve the accuracy of their systems, mistakes in the output are currently too frequent to make OMR a practical tool for bulk processing.

Item Type:
Contribution in Book/Report/Proceedings
ID Code:
75616
Deposited By:
Deposited On:
14 Sep 2015 15:46
Refereed?:
Yes
Published?:
Published
Last Modified:
20 Oct 2020 09:20