Automatically augmenting an emotion dataset improves classification using audio

EACL 2017 Egor LakomkinCornelius WeberStefan Wermter

In this work, we tackle a problem of speech emotion classification. One of the issues in the area of affective computation is that the amount of annotated data is very limited... (read more)

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