Visualizing acoustic similarities between emotions in speech: an acoustic map of emotions
conference paper
In this paper, we introduce a visual analysis method to assess the discriminability and confusiability between emotions according to automatic emotion classifiers. The degree of acoustic similarities between emotions can be defined in terms of distances that are based on pair-wise emotion discrimination experiments. By employing Multidimensional Scaling, the discriminability between emotions can then be visualized in a two-dimensional plot that is relatively easy to interpret. This map of emotions is compared to the well-known Feeltrace two-dimensional mapping of emotions. While there is correlation with the arousal dimension of Feeltrace, it appears that the valence dimension is difficult to relate to the acoustic map.
Topics
TNO Identifier
19220
Source title
Interspeech 2007
Pages
2265 - 2268
Files
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