000086295 001__ 86295
000086295 005__ 20200716101453.0
000086295 0247_ $$2doi$$a10.1007/978-3-030-05270-6_12
000086295 0248_ $$2sideral$$a109747
000086295 037__ $$aART-2019-109747
000086295 041__ $$aeng
000086295 100__ $$aOspitia Medina, Y.
000086295 245__ $$aHigh-level libraries for emotion recognition in music: A review
000086295 260__ $$c2019
000086295 5060_ $$aAccess copy available to the general public$$fUnrestricted
000086295 5203_ $$aThis article presents a review of high-level libraries that enable to recognize emotions in digital files of music. The main objective of the work is to study and compare different high-level content-analyzer libraries, showing their main functionalities, focused on the extraction of low and high level relevant features to classify musical pieces through an affective classification model. In addition, there has been a review of different works in which those libraries have been used to emotionally classify the musical pieces, through rhythmic and tonal features reconstruction, and the automatic annotation strategies applied, which generally incorporate machine learning techniques. For the comparative evaluation of the different high-level libraries, in addition to the common attributes in the chosen libraries, the most representative attributes in music emotion recognition field (MER) were selected. The comparative evaluation enables to identify the current development in MER regarding high-level libraries and to analyze the musical parameters that are related with emotions.
000086295 536__ $$9info:eu-repo/grantAgreement/ES/MINECO/TIN2015-72241-EXP
000086295 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000086295 592__ $$a0.188$$b2019
000086295 593__ $$aComputer Science (miscellaneous)$$c2019$$dQ3
000086295 593__ $$aMathematics (miscellaneous)$$c2019$$dQ4
000086295 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000086295 700__ $$0(orcid)0000-0002-9315-6391$$aBaldassarri, S.$$uUniversidad de Zaragoza
000086295 700__ $$0(orcid)0000-0002-7500-4650$$aBeltrán, J.R.$$uUniversidad de Zaragoza
000086295 7102_ $$15008$$2785$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Tecnología Electrónica
000086295 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf.
000086295 773__ $$g847 (2019), 158-168$$pCommun. comput. inf. sci.$$tCommunications in computer and information science$$x1865-0929
000086295 8564_ $$s314140$$uhttps://zaguan.unizar.es/record/86295/files/texto_completo.pdf$$yVersión publicada
000086295 8564_ $$s18784$$uhttps://zaguan.unizar.es/record/86295/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000086295 909CO $$ooai:zaguan.unizar.es:86295$$particulos$$pdriver
000086295 951__ $$a2020-07-16-09:07:37
000086295 980__ $$aARTICLE