audEERING's approach to the One-Minute-Gradual Emotion Challenge
This work addresses emotion recognition for human-computer interaction, but it appears incremental as it describes submissions to an existing challenge without major breakthroughs.
The paper tackled emotion recognition in the One-Minute-Gradual challenge, achieving a Concordance Correlation Coefficient of 0.343 for arousal from audio and 0.401 for valence from video on the Development set.
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).