Interactive Musical Songs Recommendation Using 3D Coordinates Model

Woon Choong Chen, Noris Binti Mohd Norowi, S. Doraisamy, M. Mustaffa
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Abstract

Listening to suitable music is important as different types of music have different impacts on the listener's mood. Similarly, color has the capability of influencing one's mood and choice of music as well. The relationship between color and music, color and mood, and mood and music can be established. However, up until now, the three items have been mostly represented as two dimensional (2D) model. In order to link all the three elements together, i.e. color-mood-music, multimodals are required to represent them. In this paper, a three dimensional (3D) model is proposed that integrates these three elements together for music recommendation. Questionnaires were developed and posted onto social media such as Facebook and Whatsapp. Analysis of results revealed that the relationship between color-mood and mood-color, color-music and music-color, and mood-music and music-mood were inconsistent, interestingly, it was found that there was association between specific color to specific mood and specific musical genres. This is useful as it helps to retrieve musical genre using a single model rather than multimodal.
基于三维坐标模型的交互式音乐歌曲推荐
听合适的音乐很重要,因为不同类型的音乐对听者的情绪有不同的影响。同样,颜色也能影响一个人的情绪和对音乐的选择。色彩与音乐、色彩与情绪、情绪与音乐之间的关系可以建立起来。然而,到目前为止,这三个项目大多以二维(2D)模型表示。为了将这三个元素联系在一起,即色彩-情绪-音乐,需要多模态来表示它们。本文提出了一个将这三个要素整合在一起的三维(3D)音乐推荐模型。调查问卷被制作出来并发布在Facebook和Whatsapp等社交媒体上。分析结果发现,色彩-情绪与情绪-颜色、色彩-音乐与音乐-颜色、情绪-音乐与音乐-情绪之间的关系不一致,有趣的是,特定颜色与特定情绪和特定音乐类型之间存在关联。这是有用的,因为它有助于检索音乐类型使用单一模型而不是多模态。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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