Continuous Estimation of Emotions in Speech by Dynamic Cooperative Speaker Models.
IEEE Transactions on Affective Computing(2017)
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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