Continuous Estimation of Emotions in Speech by Dynamic Cooperative Speaker Models.

IEEE Transactions on Affective Computing(2017)

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摘要
Research on automatic emotion recognition from speech has recently focused on the prediction of time-continuous dimensions (e.g., arousal and valence) of spontaneous and realistic expressions of emotion, as found in real-life interactions. However, the automatic prediction of such emotions poses several challenges, such as the subjectivity found in the definition of a gold-standard from a pool of ...
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关键词
Predictive models,Speech,Databases,Emotion recognition,Standards,Gold,Data models
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