情感感知音乐塔楼 (EmoMTB):用于发现和推音乐的智能视听界面
Alessandro B Melchiorre1,2, David Penz1,3, Christian Ganhör1
1Institute of Computational Perception, Johannes Kepler University Linz, Linz, Austria.
概括
由于流媒体服务的偏见,发现新音乐是具有挑战性的. EmoMTB为非线性音乐探索提供了一个智能,视听系统,结合了情感意识的建议,以增强用户体验和找到新的曲目.
科学领域:
- 人与计算机的交互
- 音乐信息检索 音乐信息检索
- 情感计算是一种情感计算.
背景情况:
- 音乐流媒体服务主导着音乐消费,提供有限的,连续的探索.
- 认知和算法偏见 (例如,位置,人气) 阻碍用户发现新音乐.
- 现有的系统缺乏个性化,情感感知导航和非线性探索能力.
研究的目的:
- 介绍EmoMTB,一个智能视听音乐探索系统.
- 为了实现音乐收藏的免费,非线性导航,提供个性化,情感意识的建议.
- 通过减轻偏见和增强用户体验来解决当前音乐发现平台的局限性.
主要方法:
- EmoMTB可视化音乐收藏作为一个可航行的城市,在基于类型的建筑中用轨道作为地板.
- 用户使用智能手机进行导航,以个性化的情感意识建议为指导.
- 情绪预测器根据用户识别的或集体情绪重新排名建议.
主要成果:
- 该系统的基础音乐集群显示出高度的同质性.
- 情绪预测器实现了可测量的准确性.
- 来自用户调查的定性反表明了改进音乐发现的潜力.
结论:
- EmoMTB提供了一种新的,非线性音乐探索方法,克服了传统流媒体服务的局限性.
- 情感意识的建议和视听城市隐喻增强了音乐发现和用户参与.
- 该系统有望帮助用户发现超出他们典型的听力习惯的新音乐.
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