This paper describes several systems for emotion recognition developed for the AV+EC 2015 Emotion Recognition Challenge. A complete system, making use of all three modalities (audio, video, and physiological data), was submitted to the evaluation. The focus of our work was, however, on the so called Bottle-Neck features used to complement the audio features. For the recognition of arousal, we improved the results of the delivered audio features and combined them favorably with the Bottle-Neck features. For valence, the best results were obtained with video, but a two-output Bottle-Neck structure is not far behind, which is especially appealing for applications where only audio is available.
CITATION STYLE
Popková, A., Povolný, F., Matějka, P., Glembek, O., Grézl, F., & Černocký, J. “Honza.” (2016). Investigation of Bottle-Neck features for emotion recognition. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9924 LNCS, pp. 426–434). Springer Verlag. https://doi.org/10.1007/978-3-319-45510-5_49
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