This is the first Arabic Natural Audio Dataset (ANAD) developed to recognize 3 discrete emotions: Happy,angry, and surprised. Eight videos of live calls between an anchor and a human outside the stu
SAKURA-EmotionQA 数据集包含了来自 SAKURA 基准的情感追踪的音频文件以及单跳和多跳问题及答案。这个基准来自于 Interspeech 2025 论文 SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information。数据集的字段包括音频
General: The purpose of the Multimodal Sentiment Analysis in Real-life media Challenge (MuSe) is to bring together communities from different disciplines; mainly, the audio-visual emotion recognition
