The Interactive Emotional Dyadic Motion Capture (IEMOCAP)
#Metrics-WAR UAR
Adapter：
Linear Classifier
Data description：
The Interactive Emotion Motion Capture (IEMOCAP) database is a performative, multimodal, and multispeaker emotion database. It contains approximately 12 hours of audio-visual data, including video, audio, facial motion capture, and text transcription. It includes conversational sessions with actors performing improvisation or scripted scenarios.
Dataset structure：
Amount of source data：
The dataset is split into Neutral (1708), Angry (1103), Sad (1084), Happy (595), Excited (1041), Scared (40), Surprised (107), Frustrated (1849), and Other (2507).
Amount of evaluation data：
The evaluation dataset are 5531 instances (Neutral, Angry, Sad, Happy) from the source dataset, where samples from the Excited and Happy categories are combined.
Data detail：
| KEYS | EXPLAIN |
|---|---|
| id | data id |
| sentence | the content of the speech |
| label | emotion label |
Sample of dataset：
{
"id": Ses01F_impro01_F000,
"sentence": "Excuse me.",
"label": "neu"
}Citation information：
@article{busso2008iemocap,
title={IEMOCAP: Interactive emotional dyadic motion capture database},
author={Busso, Carlos and Bulut, Murtaza and Lee, Chi-Chun and Kazemzadeh, Abe and Mower, Emily and Kim, Samuel and Chang, Jeannette N and Lee, Sungbok and Narayanan, Shrikanth S},
journal={Language resources and evaluation},
volume={42},
pages={335--359},
year={2008},
publisher={Springer}
}