speech-16
Emotion Recognition in Conversation
3260 papers • 126 benchmarks • 313 datasets
Given the transcript of a conversation along with speaker information of each constituent utterance, the ERC task aims to identify the emotion of each utterance from several pre-defined emotions. Formally, given the input sequence of N number of utterances [(u1, p1), (u2, p2), . . . , (uN , pN )], where each utterance ui = [ui,1, ui,2, . . . , ui,T ] consists of T words ui,j and spoken by party pi, the task is to predict the emotion label ei of each utterance ui. .
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Benchmarks
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Actions
MELD
MELD
IEMOCAP
IEMOCAP
DailyDialog
DailyDialog
Libraries
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6 papers 1,030
Datasets
No datasets available.
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