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Datasets/IEMOCAP

IEMOCAP

The Interactive Emotional Dyadic Motion CaptureĀ (IEMOCAP) Database

AudioVideosCustom (non-commercial)

Multimodal Emotion Recognition IEMOCAP The IEMOCAP dataset consists of 151 videos of recorded dialogues, with 2 speakers per session for a total of 302 videos across the dataset. Each segment is annotated for the presence of 9 emotions (angry, excited, fear, sad, surprised, frustrated, happy, disappointed and neutral) as well as valence, arousal and dominance. The dataset is recorded across 5 sessions with 5 pairs of speakers.

Source: Multi-attention Recurrent Network for Human Communication Comprehension Image Source: https://sail.usc.edu/iemocap/Busso_2008_iemocap.pdf

Benchmarks

Emotion Recognition/UA CVEmotion Recognition/WA CVEmotion Recognition/UAEmotion Recognition/WAEmotion Recognition/F1Emotion Recognition/Weighted-F1Emotion Recognition/AccuracyEmotion Recognition/Micro-F1Emotion Recognition/Macro-F1Emotion Recognition/Weighted F1Multimodal Emotion Recognition/Weighted F1Multimodal Emotion Recognition/AccuracySpeech Emotion Recognition/UA CVSpeech Emotion Recognition/WA CVSpeech Emotion Recognition/UASpeech Emotion Recognition/WASpeech Emotion Recognition/F1

Related Benchmarks

IEMOCAP-4/Emotion Recognition/AccuracyIEMOCAP-4/Emotion Recognition/F1IEMOCAP-4/Emotion Recognition/Weighted F1IEMOCAP-4/Emotion Recognition/Weighted RecallIEMOCAP-4/Multimodal Emotion Recognition/AccuracyIEMOCAP-4/Multimodal Emotion Recognition/F1IEMOCAP-4/Multimodal Emotion Recognition/Weighted F1IEMOCAP-4/Multimodal Emotion Recognition/Weighted Recall

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Papers
749
Benchmarks
17

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Tasks

Emotion RecognitionEmotion Recognition in ConversationMultimodal Emotion RecognitionSpeech Emotion Recognition