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Table 4 Within-corpus results for categorical classification on the USC EMA database

From: Articulation constrained learning with application to speech emotion recognition

Vowel SVM ACO ACL Best target Best group BCUAR
/AA/ 80.92 79.97 81.55* 81.17 (TNG, ACC, X) 81.75 (JAW) 28.09
/AE/ 76.19 78.20 79.02 78.55 (LIP, VEL, X) 79.17 (LIP) 27.35
/IY/ 71.78 71.15 72.89* 74.66 (JAW, VEL, X) 73.14 (LIP) 27.85
/UW/ 77.82 75.17 77.50* 76.31 (JAW, ACC, X) 77.80 (LIP) 29.74
FULL 95.74 95.62 97.05* 96.97 (LIP, VEL, Y) 97.00 (TNG) 27.23
  1. The UAR is expressed in percentage. The columns of the table represent results from several models: support vector machine (SVM), acoustic-only model (ACO), articulation constrained learning (ACL), best target using ACL, best group of targets using ACL, and the by-chance unweighted average recall (BCUAR). *Statistically significant improvement (p < 0.05) over compared methods