Pandrea, Ana Gabriela
Gómez-Cañón, Juan Sebastián
Herrera, Perfecto
2020-10-12
<p>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.</p>
https://doi.org/10.5281/zenodo.4076772
oai:zenodo.org:4076772
eng
Zenodo
https://doi.org/10.5281/zenodo.4076771
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
ISMIR, Late-Breaking/Demo in Proceedings of the 21st International Society for Music Information Retrieval Conference, Montréal, Canada, 12-16 October 2020
cross-dataset
cross-cultural
music amotion recognition
end-to-end model
Cross-Dataset Music Emotion Recognition: an End-to-End Approach
info:eu-repo/semantics/report