DSAML uses dual-scale attention and meta-learning over per-annotator tasks to predict dynamic music emotion for both the average listener and for individual listeners from a single personalized song annotation.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.SD 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Personalized Dynamic Music Emotion Recognition with Dual-Scale Attention-Based Meta-Learning
DSAML uses dual-scale attention and meta-learning over per-annotator tasks to predict dynamic music emotion for both the average listener and for individual listeners from a single personalized song annotation.