@inproceedings{f2f0e56c275244eea4650881066524c9,
title = "The relevance of feature type for the automatic classification of emotional user states: Low level descriptors and functionals",
abstract = "In this paper, we report on classification results for emotional user states (4 classes, German database of children interacting with a pet robot). Six sites computed acoustic and linguistic features independently from each other, following in part different strategies. A total of 4244 features were pooled together and grouped into 12 low level descriptor types and 6 functional types. For each of these groups, classification results using Support Vector Machines and Random Forests are reported for the full set of features, and for 150 features each with the highest individual Information Gain Ratio. The performance for the different groups varies mostly between ≈ 50% and ≈ 60%.",
keywords = "Automatic classification, Emotional user states, Feature types, Functionals",
author = "Bj{\"o}rn Schuller and Anton Batliner and Dino Seppi and Stefan Steidl and Thurid Vogt and Johannes Wagner and Laurence Devillers and Laurence Vidrascu and Noam Amir and Loic Kessous and Vered Aharonson",
year = "2007",
language = "English",
isbn = "9781605603162",
series = "International Speech Communication Association - 8th Annual Conference of the International Speech Communication Association, Interspeech 2007",
publisher = "Unavailable",
pages = "881--884",
booktitle = "International Speech Communication Association - 8th Annual Conference of the International Speech Communication Association, Interspeech 2007",
note = "8th Annual Conference of the International Speech Communication Association, Interspeech 2007 ; Conference date: 27-08-2007 Through 31-08-2007",
}