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Patterns, prototypes, performance: classifying emotional user states

Patterns, prototypes, performance: classifying emotional user states,Dino Seppi,Anton Batliner,Björn Schuller,Stefan Steidl,Thurid Vogt,Johannes Wagne

Patterns, prototypes, performance: classifying emotional user states   (Citations: 13)
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In this paper, we report on classification results for emotional user states (4 classes, German database of children interacting with a pet robot). Starting with 5 emotion labels per word, we obtained chunks with different degrees of prototypicality. Six sites computed acoustic and linguistic features independently from each other. A total of 4232 features were pooled together and grouped into 10 low level descriptor types. For each of these groups separately and for all taken together, classification results using Support Vector Machines are reported for 150 fea- tures each with the highest individual Information Gain Ratio, for a scale of prototypicality. With both acoustic and linguistic features, we obtained a relative improvement of up to 27.6%, going from low to higher prototypicality. Index Terms: emotion, prototypes, feature types, automatic classification
Published in 2008.
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    • ...This difficultly is in part due to the presence of complex emotions, defined as emotions that contain shades of multiple affective classes [2]‐[5]...
    • ...Emotional ambiguity has also been studied with respect to classification performance [2], [12] and synthesis [13], [14]...
    • ...EP-based methods have been used to describe the emotional content of an utterance with respect to evaluator reports [2], [15], classification output [7], and perception (as a combination of multiple emotions) resulting from one group’s actions towards another group [16]...
    • ...The classification technique employed in this paper, SVMs, has been used previously in emotion classification tasks [2], [18], [20]...
    • ...The feature selection method utilized in this study is information gain, which has also been used widely in the literature [2], [20]...
    • ...These features have been shown to be relevant to emotion perception [2], [5], [18], [20]...

    Emily Moweret al. A Framework for Automatic Human Emotion Classification Using Emotion P...

    • ...Note that there is usually a high difference in accuracy between the tasks of prototypical and non-prototypical emotion recognition [34, 35, 37]...

    Florian Eybenet al. On-line emotion recognition in a 3-D activation-valence-time continuum...

    • ...Note that there is usually a high difference in accuracy between the tasks of prototypical and non-prototypical emotion recognition [23], [24], [46]...

    Martin Wollmeret al. Combining Long Short-Term Memory and Dynamic Bayesian Networks for Inc...

    • ...We have elaborated on the use of prototypes and their impact on classification performance in [8, 46]...
    • ...This might partly result from the fact that more training instances are available, but partly as well from the fact that shorter units are more ‘consistent’, cf. [46]...
    • ...Thus, thresholds can be altered and more or less prototypical cases can be established [8, 46])...

    Anton Batlineret al. Segmenting into Adequate Units for Automatic Recognition of Emotion-Re...

    • ...EP-like representations have also been used to represent the evaluations of a set of evaluators [4, 5] and to represent perception based on actions (as a function of multiple emotions) [6]...
    • ...Pitch and intensity are commonly used in emotion classification tasks and have been found to be effective [4, 17, 18, 19]...

    Emily Moweret al. Robust representations for out-of-domain emotions using Emotion Profil...

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