流行音乐文化的计算研究方法
On computational approaches to Pop music culture
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中文总结 AI 辅助
该文提出流行音乐文化的计算研究需采用多模态方法，综述相关量化研究并指出其存在的多模态方法匮乏等问题，勾勒出绘制歌词主题图谱等三个未来研究方向。
中文摘要 AI 辅助
本综述文章阐述了为何流行音乐文化的计算研究需采用超越单纯音频分析的多模态方式，对已发表的大规模分析流行音乐的量化研究进行了综述，并探讨了未来工作的挑战与有前景的研究方向。我们认为，流行音乐文化是音频、视觉、文本及文化内涵与关系构成的丰富织锦，需作为多模态社会文化现象进行整合研究。所需方法类似“远读”，即对数千本书籍进行算法分析，作为数字人文的研究工具。除聆听音频外，算法还需分析专辑封面、音乐视频，读取元信息、歌词、音乐杂志及书籍。我们对已有的远读/远听/远视研究及多模态组合的综述揭示了两大主要未解决问题：真正多模态方法的匮乏，以及构建音乐语料库时采样实践导致的外部有效性存疑。为克服这些缺陷，我们勾勒了未来流行音乐文化研究的三个范例方向：绘制歌词主题图谱、构建专辑封面图像志、追踪音乐时间线中的复古周期。
英文摘要
This overview article presents arguments why the computational study of Pop music culture needs to be conducted in a multi-modal way beyond mere audio analysis, gives a survey of already published quantitative work on analyzing Pop music at scale, and discusses challenges and promising research avenues for future work. We argue that Pop music culture is a rich tapestry of audio, visual, textual and cultural connotations and relations which needs to be studied in an integrative way as a multi-modal socio-cultural phenomenon. What is needed is an approach which is reminiscent of "distant reading", i.e. algorithmic analysis of thousands of books as a research tool in digital humanities. In addition to listening to audio, algorithms need to view album artwork and music videos, to read meta-information, lyrics, music magazines and books. Our review of already available work on distant reading/listening/viewing and multi-modal combinations thereof reveals two major open issues: a scarcity of truly multi-modal approaches and questionable external validity rooted in sampling practices when building music corpora. In trying to overcome these shortcomings we sketch three exemplary avenues for future research on Pop music culture: charting the topic universe of music lyrics, providing an iconography of album cover art, tracking retro cycles in music's timeline.
