TY - CHAP A1 - Schuller, Björn A1 - Vlasenko, Bogdan A1 - Eyben, Florian A1 - Wöllmer, Martin A1 - Stuhlsatz, André A1 - Wendemuth, Andreas A1 - Rigoll, Gerhard T1 - Cross-Corpus Acoustic Emotion Recognition: Variances and Strategies (Extended Abstract) T2 - In Proc. 6th biannual Conference on Affective Computing and Intelligent Interaction (ACII 2015), AAAC, N2 - As the recognition of emotion from speech has matured to a degree where it becomes applicable in real-life settings, it is time for a realistic view on obtainable performances. Most studies tend to overestimation in this respect: acted data is often used rather than spontaneous data, results are reported on pre-selected prototypical data, and true speaker disjunctive partitioning is still less common than simple cross-validation. A considerably more realistic impression can be gathered by inter-set evaluation: we therefore show results employing six standard databases in a cross-corpora evaluation experiment. To better cope with the observed high variances, different types of normalization are investigated. 1.8k individual evaluations in total indicate the crucial performance inferiority of inter- to intra-corpus testing. Y1 - 2015 UR - https://web.archive.org/web/20250716075551/https://publications.idiap.ch/downloads/papers/2015/Schuller_ACII2015_2015.pdf ER - TY - JOUR A1 - Schuller, Bjorn A1 - Vlasenko, Bogdan A1 - Eyben, Florian A1 - Wollmer, Martin A1 - Stuhlsatz, André A1 - Wendemuth, Andreas A1 - Rigoll, Gerhard T1 - Cross-Corpus Acoustic Emotion Recognition: Variances and Strategies JF - IEEE Transactions on Affective Computing Y1 - 2010 U6 - https://doi.org/10.1109/t-affc.2010.8 VL - 1 IS - 2 SP - 119 EP - 131 PB - IEEE ER -