Cross-dataset music emotion recognition: an end-to-end approach
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- dc.contributor.author Pandrea, Ana Gabriela
- dc.contributor.author Gómez Cañón, Juan Sebastián
- dc.contributor.author Herrera Boyer, Perfecto, 1964-
- dc.date.accessioned 2020-10-28T09:07:15Z
- dc.date.available 2020-10-28T09:07:15Z
- dc.date.issued 2020
- dc.description Comunicació presentada a: International Society for Music Information Retrieval Conference celebrat de l'11 al 16 d'octubre de 2020 de manera virtual.
- dc.description.abstract The topic of Music Emotion Recognition (MER) evolved as music is a fascinating expression of emotions, yet it faces challenges given its subjectivity. Because each language has its particularities in terms of sound and intonation, and implicitly associations made upon them, we hypothesize perceived emotions might vary in different cultures. To address this issue, we test a novel approach towards emotion detection and propose a language sensitive end-to-end model that learns to tag emotions from music with lyrics in English, Mandarin and Turkish.en
- dc.format.mimetype application/pdf
- dc.identifier.citation Pandrea AG, Gómez-Cañón JS, Herrera P. Cross-dataset music emotion recognition: an end-to-end approach. Paper presented at: International Society of Music Information Retrieval Conference (ISMIR); 2020 Oct 11-16; Montréal, Canada.
- dc.identifier.uri http://hdl.handle.net/10230/45601
- dc.language.iso eng
- dc.publisher International Society for Music Information Retrieval
- dc.rights © Ana Gabriela Pandrea, Juan Sebastián Gómez-Cañón, Perfecto Herrera. Licensed under a Creative Commons Attribution 4.0International License (CC BY 4.0). (https://creativecommons.org/licenses/by/4.0/legalcode) Attribution: Ana Gabriela Pandrea, Juan Sebastián Gómez-Cañón, Perfecto Herrera, “Cross-Dataset Music Emotion Recognition: an End-to-End Approach”, Extended Abstracts for the Late-Breaking Demo Session of the 21st Int. Society for Music Information Retrieval Conf., Montréal, Canada, 2020.
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.rights.uri https://creativecommons.org/licenses/by/4.0/
- dc.title Cross-dataset music emotion recognition: an end-to-end approachen
- dc.type info:eu-repo/semantics/conferenceObject
- dc.type.version info:eu-repo/semantics/publishedVersion