Music information retrieval: recent developments and applications

We provide a survey of the field of Music Information Retrieval (MIR), in particular paying attention to latest developments, such as semantic auto-tagging and user-centric retrieval and recommendation approaches. We first elaborate on well-established and proven methods for feature extraction and m...

Descripción completa

Detalles Bibliográficos
Autores: Schedl, Markus, Gómez Gutiérrez, Emilia, 1975-, Urbano, Julián
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2014
País:España
Institución:Universitat Pompeu Fabra
Repositorio:Repositorio Digital de la UPF
OAI Identifier:oai:repositori.upf.edu:10230/27565
Acceso en línea:http://hdl.handle.net/10230/27565
http://dx.doi.org/10.1561/1500000042
Access Level:acceso abierto
Palabra clave:Applications of IR
Collaborative filtering and recommender systems
Evaluation issues and test collections for IR
Information extraction
Information retrieval
id ES_da21d9be88ca8062755401a3e2fcb2f1
oai_identifier_str oai:repositori.upf.edu:10230/27565
network_acronym_str ES
network_name_str España
repository_id_str
spelling Music information retrieval: recent developments and applicationsSchedl, MarkusGómez Gutiérrez, Emilia, 1975-Urbano, JuliánApplications of IRCollaborative filtering and recommender systemsEvaluation issues and test collections for IRInformation extractionInformation retrievalWe provide a survey of the field of Music Information Retrieval (MIR), in particular paying attention to latest developments, such as semantic auto-tagging and user-centric retrieval and recommendation approaches. We first elaborate on well-established and proven methods for feature extraction and music indexing, from both the audio signal and contextual data sources about music items, such as web pages or collaborative tags. These in turn enable a wide variety of music retrieval tasks, such as semantic music search or music identification (“query by example”). Subsequently, we review current work on user analysis and modeling in the context of music recommendation and retrieval, addressing the recent trend towards user-centric and adaptive approaches and systems. A discussion follows about the important aspect of how various MIR approaches to different problems are evaluated and compared. Eventually, a discussion about the major open challenges concludes the survey.This work is supported by the Austrian Science Fund (FWF): P22856 and P25655, as well as by the European Union Seventh Framework Programme FP7 / 2007-2013 through the PHENICX project under grant agreement no. 601166, the A4U postdoctoral grants programme, and the Junta of Andalusia through the COFLA2 project (P12-TIC-1362). The authors would further like to thank Masataka Goto, Mohamed Sordo, and Edith Law for granting permission to include their visual material in this survey, and Juan J. Bosch for his comments on the manuscript. Furthermore, the authors would like to express their gratitude to the anonymous reviewers for their highly valuable suggestions for improving the manuscript.Now Publishers Inc.201620162014info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/27565http://dx.doi.org/10.1561/1500000042reponame:Repositorio Digital de la UPFinstname:Universitat Pompeu FabraInglésFoundations and Trends in Information Retrieval. 2014 Sept 12; 8 (2-3): 127-261.info:eu-repo/grantAgreement/EC/FP7/601166© 2014 M. Schedl, E. Gómez and J. Urbanoinfo:eu-repo/semantics/openAccessoai:repositori.upf.edu:10230/275652026-06-12T07:21:37Z
dc.title.none.fl_str_mv Music information retrieval: recent developments and applications
title Music information retrieval: recent developments and applications
spellingShingle Music information retrieval: recent developments and applications
Schedl, Markus
Applications of IR
Collaborative filtering and recommender systems
Evaluation issues and test collections for IR
Information extraction
Information retrieval
title_short Music information retrieval: recent developments and applications
title_full Music information retrieval: recent developments and applications
title_fullStr Music information retrieval: recent developments and applications
title_full_unstemmed Music information retrieval: recent developments and applications
title_sort Music information retrieval: recent developments and applications
dc.creator.none.fl_str_mv Schedl, Markus
Gómez Gutiérrez, Emilia, 1975-
Urbano, Julián
author Schedl, Markus
author_facet Schedl, Markus
Gómez Gutiérrez, Emilia, 1975-
Urbano, Julián
author_role author
author2 Gómez Gutiérrez, Emilia, 1975-
Urbano, Julián
author2_role author
author
dc.subject.none.fl_str_mv Applications of IR
Collaborative filtering and recommender systems
Evaluation issues and test collections for IR
Information extraction
Information retrieval
topic Applications of IR
Collaborative filtering and recommender systems
Evaluation issues and test collections for IR
Information extraction
Information retrieval
description We provide a survey of the field of Music Information Retrieval (MIR), in particular paying attention to latest developments, such as semantic auto-tagging and user-centric retrieval and recommendation approaches. We first elaborate on well-established and proven methods for feature extraction and music indexing, from both the audio signal and contextual data sources about music items, such as web pages or collaborative tags. These in turn enable a wide variety of music retrieval tasks, such as semantic music search or music identification (“query by example”). Subsequently, we review current work on user analysis and modeling in the context of music recommendation and retrieval, addressing the recent trend towards user-centric and adaptive approaches and systems. A discussion follows about the important aspect of how various MIR approaches to different problems are evaluated and compared. Eventually, a discussion about the major open challenges concludes the survey.
publishDate 2014
dc.date.none.fl_str_mv 2014
2016
2016
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10230/27565
http://dx.doi.org/10.1561/1500000042
url http://hdl.handle.net/10230/27565
http://dx.doi.org/10.1561/1500000042
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Foundations and Trends in Information Retrieval. 2014 Sept 12; 8 (2-3): 127-261.
info:eu-repo/grantAgreement/EC/FP7/601166
dc.rights.none.fl_str_mv © 2014 M. Schedl, E. Gómez and J. Urbano
info:eu-repo/semantics/openAccess
rights_invalid_str_mv © 2014 M. Schedl, E. Gómez and J. Urbano
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Now Publishers Inc.
publisher.none.fl_str_mv Now Publishers Inc.
dc.source.none.fl_str_mv reponame:Repositorio Digital de la UPF
instname:Universitat Pompeu Fabra
instname_str Universitat Pompeu Fabra
reponame_str Repositorio Digital de la UPF
collection Repositorio Digital de la UPF
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869421524397588480
score 15.812455