Chinese Family Dining Emotion Analysis Audio Dataset

In today's highly digital society, emotion analysis technology plays an important role in enhancing customer experience and driving business decisions. However, accurately recognizing emotions in complex social settings remains an unresolved challenge, and many existing solutions struggle to effectively capture subtle emotional changes in audio. The family dining emotion analysis audio dataset focuses on solving the problem of capturing emotional nuances in noisy environments, aiming to promote the application of emotion recognition technology in everyday life scenarios. This dataset is collected using professional recording equipment in natural restaurant environments to obtain authentic family dining conversations. The data undergoes multiple rounds of annotation to ensure the accuracy and consistency of the annotations, with an expert team of 20 people possessing extensive experience in linguistics and emotion recognition. The preprocessing steps of the audio data include denoising, segmentation, and emotion tagging, and it is finally stored in a structured format for easy retrieval and analysis.