音频情感集

AudioEmotionSet 是一个用于语音情感识别的大规模音频数据集，包含超过12k+的语音录音，覆盖多种语言、口音、性别和年龄段。每条音频片段都被分类为不同的情绪类别，如快乐、悲伤、生气、惊讶等，适用于语音情感分析、情绪检测、智能客服、语音交互系统等研究与应用。该数据集为构建多语言、多场景的音频情感识别模型提供了强有力的支持。

AudioEmotionSet is a large-scale audio dataset for speech emotion recognition. It contains over 12,000 audio recordings covering diverse languages, accents, genders and age groups. Each audio clip is annotated with distinct emotion categories including happiness, sadness, anger, surprise and more. This dataset supports research and applications such as speech emotion analysis, emotion detection, intelligent customer service and speech interaction systems. It provides robust support for the development of multilingual and multi-scenario speech emotion recognition models.

搜集汇总

背景与挑战

背景概述

该数据集是一个9.44GB的音频情感数据集，采用Apache 2.0许可，提供SDK和Git两种下载方式，但缺乏具体内容描述和标注细节。