Personalized Sheet Music Search
- 16 October 2020
- conference paper
- conference paper
- Published by Association for Computing Machinery (ACM) in 7th International Conference on Digital Libraries for Musicology
Abstract
This paper discusses a novel system for querying digital sheet music using musical metadata. Users select instruments and playable ranges for an ensemble using a custom note entry tool. From this ensemble profile, the system generates SQL queries to find matching compositions based on ranges rather than motifs. The system extracts metadata such as instrument ranges, keys, and meters from MusicXML and vectorized PDF documents. Metadata is extracted by a proprietary algorithm without recourse to optical music recognition (OMR), in concert with music21.Keywords
This publication has 3 references indexed in Scilit:
- Introduction to SIMSSA (Single Interface for Music Score Searching and Analysis)Published by Association for Computing Machinery (ACM) ,2014
- Music Information Processing Using the Humdrum Toolkit: Concepts, Examples, and LessonsComputer Music Journal, 2002
- MusicBrainz: a semantic Web serviceIEEE Intelligent Systems, 2002