2019 + pics
14th workshop gRFIA
2nd International Workshop on Reading Music Systems
Delft, November 2
12th international workshop on Machine Learning and Music
Würzburg (Germany): September 16, 2019
- Serrano, J.F.; Iņesta, J.M.
"Music Information Retrieval Through Melodic Similarity Using Hanson Intervallic Analysis"
Research in Computing Science, vol. 20, pp. 131-142
The melodic similarity is an important concept to consider in music
information retrieval. Among the possible applications a number of
content-based systems may be developed for copyright management, plagiarism
detection, computer-aided composition, etc., and the intervallic analysis is
an esential tool for these applications. There exist several techniques
exposed in melodic similarity that use diverse statistical and probabilistic
analysis. The objective in this work is to establish a text words equivalent
to musical notation using three representations based on simple intervallic
relationships, rhythmics and durations, and to evaluate three textual
information retrieval techniques applied to these representations, as well
as to propose changes to improve the system precision and recall.
author = "Serrano, J.F.; Iņesta, J.M.",
title = "Music Information Retrieval Through Melodic Similarity Using Hanson Intervallic Analysis",
journal = "Research in Computing Science",
pages = "131-142",
volume = "20",
year = "2006"