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Musical trends and predictability of success in contemporary songs in and out of the top charts

机译:热门排行榜中的音乐趋势和当代歌曲成功的可预测性

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摘要

We analyse more than 500 000 songs released in the UK between 1985 and 2015 to understand the dynamics of success (defined as ‘making it’ into the top charts), correlate success with acoustic features and explore the predictability of success. Several multi-decadal trends have been uncovered. For example, there is a clear downward trend in ‘happiness’ and ‘brightness’, as well as a slight upward trend in ‘sadness’. Furthermore, songs are becoming less ‘male’. Interestingly, successful songs exhibit their own distinct dynamics. In particular, they tend to be ‘happier’, more ‘party-like’, less ‘relaxed’ and more ‘female’ than most. The difference between successful and average songs is not straightforward. In the context of some features, successful songs pre-empt the dynamics of all songs, and in others they tend to reflect the past. We used random forests to predict the success of songs, first based on their acoustic features, and then adding the ‘superstar’ variable (informing us whether the song’s artist had appeared in the top charts in the near past). This allowed quantification of the contribution of purely musical characteristics in the songs’ success, and suggested the time scale of fashion dynamics in popular music.
机译:我们分析了1985年至2015年间在英国发行的500,000多首歌曲,以了解成功的动力(定义为“使其排在榜首”),将成功与声学特征相关联并探索成功的可预测性。已经发现了几种年代际趋势。例如,“幸福”和“亮度”有明显的下降趋势,而“悲伤”有轻微的上升趋势。此外,歌曲变得不再是“男性”。有趣的是,成功的歌曲展现出自己独特的动力。特别是,他们往往比大多数人更“快乐”,更“像派对”,“放松”和“女性”。成功歌曲和普通歌曲之间的区别并不简单。在某些功能中,成功的歌曲会抢占所有歌曲的动力,而在另一些功能中,它们往往会反映过去。我们首先使用随机森林来预测歌曲的成功,然后根据其声学特征,然后添加“ superstar”变量(告知我们歌曲的歌手是否在最近的排行榜中排名第一)。这可以量化纯音乐特征对歌曲成功的贡献,并建议流行音乐中时尚动力的时间尺度。

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