Staircase Regression in OA RVM, Data Selection and Gender Dependency in AVEC 2016

Zhaocheng Huang, Brian Stasak, Ting Dang, Kalani Wataraka Gamage, Phu Le, Vidhyasaharan Sethu, Julien Epps
2016 Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge - AVEC '16  
Within the field of affective computing, human emotion and disorder/disease recognition have progressively attracted more interest in multimodal analysis. This submission to the Depression Classification and Continuous Emotion Prediction challenges for AVEC2016 investigates both, with a focus on audio subsystems. For depression classification, we investigate token word selection, vocal tract coordination parameters computed from spectral centroid features, and gender-dependent classification
more » ... tems. Token word selection performed very well on the development set. For emotion prediction, we investigate emotionally salient data selection based on emotion change, an output-associative regression approach based on the probabilistic outputs of relevance vector machine classifiers operating on low-high class pairs (OA RVM-SR), and gender-dependent systems. Experimental results from both the development and test sets show that the RVM-SR method under the OA framework can improve on OA RVM, which performed very well in the AV+EC2015 challenge.
doi:10.1145/2988257.2988265 dblp:conf/mm/HuangSDGLSE16 fatcat:boq2umnkknhtfbaqqtytsetuqi