Automatic Staff Reconstruction within SIMSSA Project
Source abstract
Abstract
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.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Music and Audio Processing · Digital Media Forensic Detection · Diverse Musicological Studies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
ATIC Research Group, Dpto. Ingeniería de Comunicaciones, Universidad de Málaga, Andalucía Tech, Campus Universitario de Teatinos s/n, 29071 Málaga, Spain
Schulich School of Music, McGill University, Montreal, QC H3A 1E3, Canada
Funding
Ministerio de Economía y Competitividad of the Spanish Government · Universidad de Málaga, Campus de Excelencia Internacional Andalucía Tech
References (31)
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