86295 20200716101453.0 doi 10.1007/978-3-030-05270-6_12 sideral 109747 ART-2019-109747 eng Ospitia Medina, Y. High-level libraries for emotion recognition in music: A review 2019 Access copy available to the general public Unrestricted This 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. info:eu-repo/grantAgreement/ES/MINECO/TIN2015-72241-EXP info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 0.188 2019 Computer Science (miscellaneous) 2019 Q3 Mathematics (miscellaneous) 2019 Q4 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion (orcid)0000-0002-9315-6391 Baldassarri, S. Universidad de Zaragoza (orcid)0000-0002-7500-4650 Beltrán, J.R. Universidad de Zaragoza 5008 785 Universidad de Zaragoza Dpto. Ingeniería Electrón.Com. Área Tecnología Electrónica 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 847 (2019), 158-168 Commun. comput. inf. sci. Communications in computer and information science 1865-0929 314140 http://zaguan.unizar.es/record/86295/files/texto_completo.pdf Versión publicada 18784 http://zaguan.unizar.es/record/86295/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:86295 articulos driver 2020-07-16-09:07:37 ARTICLE