AbstractTTS/IEMOCAP dataset hosted on Hugging Face and contributed by the HF Datasets community

The Interactive Emotional Dyadic Motion Capture (IEMOCAP) database is an acted, multimodal and multispeaker database, recently collected at SAIL lab at USC. It contains approximately 12 hours of audiovisual data, including video, speech, motion capture of face, text transcriptions. It consists of dyadic sessions where actors perform improvisations or scripted scenarios, specifically selected to elicit emotional expressions. IEMOCAP database is annotated by multiple annotators into categorical labels, such as anger, happiness, sadness, neutrality, as well as dimensional labels such as valence, activation and dominance. The detailed motion capture information, the interactive setting to elicit authentic emotions, and the size of the database make this corpus a valuable addition to the existing databases in the community for the study and modeling of multimodal and expressive human communication.

This dataset contains IEMOCAP emotion speech database metadata in dataframe, and the path to each .wav file. The dataframe columns are:

For more info on IEMOCAP, visit IEMOCAP Database homepage.

Summary of previous research on video-based emotion recognition using IEMOCAP database.

Test splits for the categorical emotion datasets CREMA-D, emoDB, IEMOCAP, MELD, RAVDESS used inside audEERING.

For each dataset, a CSV file is provided listing the file names included in the test split.

The test splits were designed trying to balance gender and emotional categories as good as possible.

yspark0519/iemocap-phi dataset hosted on Hugging Face and contributed by the HF Datasets community

Dataset

This dataset was created by Venkatesh726

Contents

Training and test instances for the IEMOCAP corpus.

Statistics of the MELD, EmoryNLP, DailyDialog, and IEMOCAP.

windcrossroad/IEMOCAP dataset hosted on Hugging Face and contributed by the HF Datasets community

Recalls for speech emotion recognition using IEMOCAP and DNN.

Chinese and English speech emotion captioning dataset based on ESD and IEMOCAP dataset

Precision of speech emotion recognition using IEMOCAP and CNN.

Noename/iemocap-emotion-scores dataset hosted on Hugging Face and contributed by the HF Datasets community

Confusion matrix [%] using IEMOCAP and DNN with MFCC/SDC features.

uclgroup8/iemocap-embeddings-light dataset hosted on Hugging Face and contributed by the HF Datasets community

uclgroup8/iemocap-embeddings dataset hosted on Hugging Face and contributed by the HF Datasets community

yspark0519/iemocap-augment dataset hosted on Hugging Face and contributed by the HF Datasets community

F1-scores for speech emotion recognition using a common model set and CNN.

These datasets are commonly used for building and training models based on multitask learning, where both emotion recognition and sentiment analysis are jointly optimized. Models developed using these datasets can significantly enhance human-computer interaction by improving the emotional sensitivity of systems.