GlobalMood: A cross-cultural benchmark for music emotion recognition (2025)

Status: pending Scraped: 2026-08-12 Source: semantic_scholar Relevance: Background

Authors: Harin Lee, Elif Çelen, Peter M. C. Harrison et al.

Abstract

Human annotations of mood in music are essential for music generation and recommender systems. However, existing datasets predominantly focus on Western songs with terms derived from English, which may limit generalizability across diverse linguistic and cultural backgrounds. We introduce'GlobalMood…

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