Subjective Evaluation of Vector Representation of Emotion Flow for Music Retrieval

2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR) Pub Date : 2018-04-10 DOI:10.1109/MIPR.2018.00075

Chia-Hao Chung, Ming-I Yang, Homer H. Chen

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Abstract

Because it simply consists of an initial point and a terminal point in a two dimensional emotion plane, vector representation of music emotion provides an intuitive and instant visualization of the dynamics of music emotion. In this paper, we investigate the performance of this representation for music information retrieval by conducting a series of subjective tests. A music retrieval system is created, and the user experience data are evaluated by seven metrics: learnability, ease of use, affordance, usefulness, joyfulness, novelty, and overall satisfaction. Compared with the point representation, the vector representation performs relatively better in affordance, novelty, and joyfulness but slightly worse in learnability and ease of use. The overall satisfaction score is 5.19 for the point representation and 5.43 for the vector representation. The results suggest that each representation has its own strengths, and the choice between the two representations depends on which metrics carry more weight in an application at hand.

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情感流向量表示在音乐检索中的主观评价

因为它只是由二维情感平面上的起始点和终点组成，所以音乐情感的矢量表示提供了音乐情感动态的直观和即时可视化。在本文中，我们通过进行一系列的主观测试来研究这种表示在音乐信息检索中的性能。我们创建了一个音乐检索系统，并通过7个指标来评估用户体验数据:易学性、易用性、可得性、有用性、愉悦性、新颖性和总体满意度。与点表示法相比，向量表示法在可视性、新颖性和愉悦性方面表现相对较好，但在易学性和易用性方面略差。总体满意度得分为5.19点表示和5.43向量表示。结果表明，每种表示都有自己的优势，两种表示之间的选择取决于哪个指标在手头的应用程序中具有更大的权重。

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2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)

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