Fig. 3From: Emotion in the singing voice—a deeperlook at acoustic features in the light ofautomatic classificationUnweighted average recall (UAR) for ternary valence; three feature selection (FS) methods (details in the text); two feature normalisation strategies for the classifier (per singer or for training set); LOSO; varying number of features (top 1–200 from ranking); linear kernel SVM; a ComParE feature set (top) and b EmoFt feature set (bottom)Back to article page