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Modeling of Music Recommendation Methods to Promote the User's Singing Motivation - For Next-Generation Japanese Karaoke Systems

机译:促进用户歌唱动机的音乐推荐方法建模-对于下一代日本卡拉OK系统

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This study attempted to build a model that recommends music choices to encourage karaoke-system users to sing by using data about the music preferences and inner characteristics of each user. First, we conducted an auditory experiment in two phases. Additionally, we analysed the acoustics and lyrics of music pieces. Using these data, we built a map of the music based on user impressions, and used this map to reveal the relationship between the user's most favourite music piece and the music piece that a user was highly motivated to sing. Thus, we were able to establish a basic model of the system that recommends the music piece a user would be highly motivated to sing.
机译:这项研究试图建立一个模型,通过使用有关每个用户的音乐喜好和内在特征的数据来推荐推荐音乐的选择,以鼓励卡拉OK系统用户唱歌。首先,我们分两个阶段进行了听觉实验。此外,我们分析了音乐作品的声学和歌词。使用这些数据,我们根据用户的印象建立了音乐地图,并使用该地图来揭示用户最喜欢的音乐作品与用户极有兴趣唱歌的音乐作品之间的关系。因此,我们能够建立一个系统的基本模型,该模型推荐用户会非常有动力唱歌的音乐作品。

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