14 datasets found

A new dataset of 95 MIDI labelled piano pieces (966 phrases of 4 bars) from video game soundtracks. Each piece is annotated by 30 human subjects according to a valence-arousal...

The AMI corpus: A spoken language corpus for speaker diarization and emotion recognition

The paper proposes a bi-parallel linear flow model for facial emotion generation from emotion set images.

A large-scale Chinese sticker dataset, Sticker820K, which consists of 820k image-text pairs. Each sticker has rich and high-quality textual annotations, including descriptions,...

The JAFFE dataset is a collection of images of Japanese faces, each with a specific facial expression. The dataset was created to test the psychological plausibility of a...

Aff-Wild2 is a large-scale in-the-wild database for affective behavior analysis, containing 564 videos with frame-level annotations for valence-arousal estimation, facial action...

RAVDESS (Ryerson Audio-Visual Database of Emotional Speech and Song) dataset contains 24 professional actors (12 female, 12 male) to offer the performance with good quality and...

The Aff-Wild dataset is a large-scale in-the-wild dataset for affect recognition, containing actual videos with a wide range of content.

Label distribution learning on auxiliary label space graphs for facial expression recognition.

The dataset consists of a significant collection of 60,000 facial expression images, categorized into eight different classes, including neutral, happy, angry, sad, fear,...

EMOCAUSE is an evaluation set for emotion cause word recognition, annotated with emotion cause words on situations in EmpatheticDialogues.

The EmpatheticDialogues dataset is a text dataset for training empathetic AI chatbots, consisting of 25k conversations grounded in emotional situations with emotion labels.

The CREMA-D dataset is an audio-visual dataset for emotion recognition task, each video in which consists of both facial and acoustic emotional expressions.

The MEAD dataset is a large-scale, high-quality emotional audio-visual dataset, which consists of 60 actors, including 8 basic emotions and 3 different emotional-intensity...