RT Journal Article
T1 Automatic Staff Reconstruction within SIMSSA Project.
A1 Tardón-García, Lorenzo José
A1 Barbancho-Pérez, Isabel
A1 Barbancho-Pérez, Ana María
A1 Fujinaga, Ichiro
K1 Música - Proceso de datos
K1 Partituras
K1 Dispositivos ópticos de reconocimiento de caracteres
K1 Sistemas de información
AB The automatic analysis of scores has been a research topic of interest for the last few decades and still is since music databases that include musical scores are currently being created to make musical content available to the public, including scores of ancient music. For the correct analysis of music elements and their interpretation, the identification of staff lines is of key importance. In this paper, a scheme to post-process the output of a previous musical object identification system is described. This system allows the reconstruction by means of detection, tracking and interpolation of the staff lines of ancient scores from the digital Salzinnes Database. The scheme developed shows a remarkable performance on the specific task it was created for.
PB MDPI
YR 2020
FD 2020-04-03
LK https://hdl.handle.net/10630/35197
UL https://hdl.handle.net/10630/35197
LA eng
NO Tardón, L.J.; Barbancho, I.; Barbancho, A.M.; Fujinaga, I. Automatic Staff Reconstruction within SIMSSA Project. Appl. Sci. 2020, 10, 2468. https://doi.org/10.3390/app10072468
NO This work has been funded by Programa Operativo FEDER Andalucía 2014–2020 under Project No. UMA18-FEDERJA-023 and Universidad de Málaga, Campus de Excelencia Internacional Andalucía Tech. This work has been partially carried out at McGill University, Montreal, Quebec, Canada.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 12 abr 2026