阅读日常情绪数据库 (REED):一组在音乐和语言中对情绪的视听录制
Jia Hoong Ong1,2, Florence Yik Nam Leung1,3, Fang Liu1
1School of Psychology and Clinical Language Sciences, University of Reading, Harry Pitt Building, Earley Gate, Reading, RG6 6AL UK.
Language resources and evaluation
|March 20, 2025
概括
新的阅读日常情绪数据库 (REED) 提供了日常成年人自然表达复杂情绪的视听片段. 这个数据库增强了情绪识别研究,包括在现实环境中记录的歌唱和口头情绪.
科学领域:
- 心理学和认知科学 心理学和认知科学
- 计算机视觉和情感计算
背景情况:
- 现有的视听 (AV) 情感数据库往往缺乏现实生活中的适用性,在人工环境中使用专业演员,并排除歌唱的情感表达.
- 需要各种AV情感数据集,以捕捉日常环境中的自然主义情感表达,以便进行强大的情感识别研究.
研究的目的:
- 介绍阅读日常情感数据库 (REED),这是一个新的AV数据集,旨在解决当前情感数据库的局限性.
- 为研究从日常环境中自然主义的口语和歌唱表达方式的情感识别提供资源.
主要方法:
- 记录了日常成年人表达13种情绪 (中性,6种基本,6种复杂) 在口头和歌唱模式.
- 利用常见的录音设备 (笔记本电脑,手机) 来模拟现实世界的情况.
- 通过一个独立的评级团队验证记录并分析识别准确性.
主要成果:
- 情感识别的准确性与录音的强度等级有正相关.
- 基本情绪,以及中性和刺情绪,比其他复杂情绪更准确地被识别出来.
- 来自有戏剧经验的人的录音显示了更高的识别准确性;准确性也因发言而异.
结论:
- 该REED数据库为需要自然主义的AV情绪表达数据的研究人员提供了宝贵的资源.
- 这些发现突出了自然主义的变化在情绪表达和记录环境的重要性,以准确的情绪识别.
- 这一数据集促进了情感计算的进步和对现实世界的情感处理的理解.
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