MelodyShape at MIREX 2015 Symbolic Melodic Similarity

Home | About RECERCAT | Contact

Català | Castellano

All of RECERCAT

By Communities &
Collections By Defense Date By Authors By Titles By Subject

This Collection

By Defense Date By Authors By Titles By Subject

Statistics

View Statistics All RECERCAT

My RECERCAT

Other repositories directory

RECERCAT Home > Universitat Pompeu Fabra > Articles, congressos, llibres > View document

To access the full text documents, please follow this link: http://hdl.handle.net/10230/27546

dc.contributor.author	Urbano, Julián
dc.date	2015
dc.identifier.citation	Urbano J. MelodyShape at MIREX 2015 Symbolic Melodic Similarity. 11st the Music Information Retrieval Evaluation eXchange (MIREX 2015); 2015 Oct 26-30; Málaga, Spain. [place unknown]: MIREX; 2015.
dc.identifier.uri	http://hdl.handle.net/10230/27546
dc.format	application/pdf
dc.language.iso	eng
dc.publisher	Music Information Retrieval Evaluation eXchange (MIREX)
dc.relation	11st the Music Information Retrieval Evaluation eXchange (MIREX 2015); 2015 Oct 26-30; Málaga, Spain. [place unknown]: MIREX; 2015.
dc.rights	This document is licensed under the Creative Commons Attribution-Noncommercial-Share Alike 3.0 License.
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	http://creativecommons.org/licenses/by-nc-sa/3.0/
dc.subject	Symbolic melodic similarity
dc.subject	Sequence alignment algorithm
dc.subject	New open source library melodyshape
dc.subject	Mirex symbolic melodic similarity task
dc.subject	Spline curve
dc.subject	Geometric model
dc.subject	Short paper
dc.subject	Pitch-time plane
dc.subject	Spline span
dc.subject	Main difference
dc.subject	Last year
dc.subject	Previous mirex
dc.subject	Effectiveness measures
dc.title	MelodyShape at MIREX 2015 Symbolic Melodic Similarity
dc.type	info:eu-repo/semantics/conferenceObject
dc.type	info:eu-repo/semantics/publishedVersion
dc.description.abstract	This short paper describes our three submissions to the 2015 edition of the MIREX Symbolic Melodic Similarity task. They all rely on a geometric model that represents melodies as spline curves in the pitch-time plane. The similarity between two melodies is then computed with a sequence alignment algorithm between sequences of spline spans: the more similar the shape of the curves, the more similar the melodies they represent. All submissions are the same we submitted last year, so they can serve as baseline to new submissions.
dc.description.abstract	This work was supported by an A4U postdoctoral grant and a Juan de la Cierva postdoctoral fellowship.

Show simple item record

All of RECERCAT

This Collection

Statistics

My RECERCAT

Related documents

Other documents of the same author