Bogdanov, DmitrySerrà Julià, JoanWack, NicolasHerrera Boyer, Perfecto, 1964-2021-04-012021-04-012009Bogdanov D, Serrà J, Wack N, Herrera P. From low-level to high-level: comparative study of music similarity. In: 11th IEEE International Symposium on Multimedia; 2009 Dec 14-16; San Diego, USA. New Jersey: IEEE; 2009. p. 453-58. DOI: 10.1109/ISM.2009.72http://hdl.handle.net/10230/47006Comunicació presentada a: 11th IEEE International Symposium on Multimedia celebrat del 14 al 16 de desembre de 2009 a San Diego, Estat Units d'Amèrica.Studying the ways to recommend music to a user is a central task within the music information research community. From a content-based point of view, this task can be regarded as obtaining a suitable distance measurement between songs defined on a certain feature space. We propose two such distance measures. First, a low-level measure based on tempo-related aspects, and second, a high-level semantic measure based on regression by support vector machines of different groups of musical dimensions such as genre and culture, moods and instruments, or rhythm and tempo. We evaluate these distance measures against a number of state-of-the-art measures objectively, based on 17 ground truth musical collections, and subjectively, based on 12 listeners' ratings. Results show that, in spite of being conceptually different, the proposed methods achieve comparable or even higher performance than the considered baseline approaches. Furthermore, they open up the possibility to explore distance metrics that are based on truly semantic notions.application/pdfeng© 2009 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. http://dx.doi.org/10.1109/ISM.2009.72info:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/ISM.2009.72Extraterrestrial measurementsRecommender systemsDistance measurementSupport vector machinesMoodInstrumentsRhythmData miningCepstral analysisinfo:eu-repo/semantics/openAccess