Browsing Faculty of Arts and Sciences by Keyword "Affect Annotation"
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Eliciting and annotating uncertainty in spoken language
(2014)A major challenge in the field of automatic recognition of emotion and affect in speech is the subjective nature of affect labels. The most common approach to acquiring affect labels is to ask a panel of listeners to rate ...