nEMO

nEMO数据集是由亚当密茨凯维奇大学数学与计算机科学学院开发的波兰语情感语音数据集。该数据集包含超过3小时的录音，由9名演员模拟6种基本情感状态：愤怒、恐惧、幸福、悲伤、惊讶和自然状态。数据集的创建过程采用模拟方法，确保了情感表达的明确性和版权控制。nEMO数据集适用于多种语音处理任务，特别是情感语音识别，旨在提高人机交互系统的个性化和响应性。

The nEMO dataset is a Polish emotional speech dataset developed by the Faculty of Mathematics and Computer Science, Adam Mickiewicz University. This dataset contains over 3 hours of recorded speech, where nine actors simulated six basic emotional states: anger, fear, happiness, sadness, surprise, and neutral state. The dataset was constructed using a simulated methodology, which guarantees clear emotional expression and strict copyright compliance. The nEMO dataset is applicable to a wide range of speech processing tasks, particularly emotional speech recognition, and aims to enhance the personalization and responsiveness of human-computer interaction systems.