Cross-dataset music emotion recognition: an end-to-end approach
Cross-dataset music emotion recognition: an end-to-end approach
Citació
- 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.
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Resum
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.Descripció
Comunicació presentada a: International Society for Music Information Retrieval Conference celebrat de l'11 al 16 d'octubre de 2020 de manera virtual.