AffectMachine-Classical:一种用于产生情感古典音乐的新系统
Kat R Agres1,2, Adyasha Dash1, Phoebe Chua3
1Yong Siew Toh Conservatory of Music, National University of Singapore, Singapore, Singapore.
Frontiers in psychology
|June 22, 2023
概括
这项研究介绍了AffectMachine-Classical,这是一款用于生物反系统的实时情感音乐生成器. 该系统有效地传达情绪,帮助用户实时进行情绪自我调节,以提高幸福感.
科学领域:
- 计算音乐学的音乐学.
- 情感计算是一种情感计算.
- 人与计算机的互动.
背景情况:
- 生物反系统旨在增强自我意识和调节生理和情绪状态.
- 基于音乐的干预越来越多地被用于治疗和健康应用.
- 实时情感音乐生成为动态情感支持提供了一种新的方法.
研究的目的:
- 介绍AffectMachine-Classical,这是一个用于实时产生情感古典音乐的新系统.
- 描述AffectMachine系统的基于规则的概率架构.
- 通过听众研究验证系统在传达目标情绪方面的有效性.
主要方法:
- 开发了一个基于规则的,概率的音乐生成系统 (AffectMachine-Classical).
- 设计了集成到生物反和脑计算机接口应用程序的系统.
- 进行了一个听众研究,以评估系统传达目标情绪的能力.
主要成果:
- 影响机器 - 经典在传递唤醒水平方面表现出高效率 (R2 = 0.96).
- 该系统在 Valence (R2 = 0.90) 中取得了显著的成功.
- 听众研究结果验证了系统可靠的情感沟通能力.
结论:
- AffectMachine-Classical是用于实时产生情感音乐的经过验证的工具.
- 该系统显示了基于音乐的MedTech应用在情绪自我调节方面的前景.
- 未来将其整合到生物反系统中,旨在利用情感音乐促进情感健康.
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