YSED:也门语音情感数据集
Somia Derhem1,2, Eiad Al-Mekhlafi1,3, Nashwan Ahmed Al-Majmar1,2
1Department of Computer Science and Information Technology, IBB University, IBB, Yemen.
Data in brief
|December 1, 2025
概括
本研究介绍了也门语音情感数据集 (YSED),这是第一个用于也门阿拉伯语语音情感识别的数据集. 它旨在推进深度学习模型,以识别这种代表性不足的方言中的情绪.
科学领域:
- 计算语言学 计算语言学
- 语音处理 语音处理
- 情感计算是一种情感计算.
背景情况:
- 语音情感识别 (SER) 研究低估了阿拉伯方言,特别是也门方言.
- 有限的高质量的音频数据集阻碍了也门语音情感分析的深度学习.
- 这种差距影响了阿拉伯语语言中理解和处理情感细微差别的进步.
研究的目的:
- 介绍也门语音情感数据集 (YSED),也门阿拉伯语的第一个数据集.
- 为基于深度学习的SER提供高质量的资源.
- 为了支持在阿拉伯方言中代表性不足的情感细微差别的研究.
主要方法:
- 收集了来自71名也门志愿者 (15-45岁) 的录音.
- 参与者表达了五种情绪 (愤怒,悲伤,快乐,恐惧,中立).
- 经过验证的1432个录音 (59分10秒) 具有很高的注释者间一致性 (Fleiss' Kappa = 0.9).
主要成果:
- 也门语音情感数据集 (YSED) 是首个同类数据集.
- 在情感注释方面取得了很高的注释者间一致性 (Fleiss' Kappa = 0.9).
- 数据集包括1432个经过验证的记录,共计59分10秒.
结论:
- 在也门阿拉伯语中,YSED是SER研究的宝贵资源.
- 该数据集将增强情绪分析和也门语音应用程序开发.
- 这项工作有助于丰富跨文化情感理解的数据来源.
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