audEERING's approach to the One-Minute-Gradual Emotion Challenge

Abstract-- This paper describes audEERING's submissions as well as additional evaluations for the One-Minute-Gradual (OMG) emotion recognition challenge. We provide the results for audio and video processing on subject (in)dependent evaluations. On the provided Development set, we achieved 0.343 Concordance Correlation Coefficient (CCC) for arousal (from audio) and.401 for valence (from video). I. INTRODUCTION The OMG dataset consists of 5288 (train: 2442, dev: 617, test: 2229) segments from YouTube videos of about 1-minute each, and the raters annotated some segments in each video on arousal (activation) [0..1] and valence [-1..1] dimensions. For the sake of consistency we mapped arousal also to [-1..1] range.