A Call for Hypothesis-Driven, Multi-Level Analysis in Research on Emotional Word Painting in Music: Commentary on Sun & Cuthbert (2018)

IF 0.6 0 MUSIC
N. C. Hansen
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引用次数: 2

Abstract

This commentary discusses Sun and Cuthbert's (2018) exploratory analysis of emotional word painting in a corpus of English-language popular and folk songs. The authors are complimented for their application of computational tools to an impressively large sample of a somewhat understudied musical genre, and for their detailed level of analysis mapping musical features to the semantic content of individual words. This work, however, suffers from a lack of a priori predictions which causes multiple comparison issues leading to a dramatic reduction in statistical power. The selection of musical features and analytical strategies also seems arbitrary at times due to the absence of motivating hypotheses. It is argued that the ethological literature on affective vocal communication in animals might offer an avenue for future hypothesis-driven research on this topic.
音乐情感词画研究呼唤假设驱动的多层次分析——评Sun & Cuthbert (2018)
这篇评论讨论了Sun和Cuthbert(2018)对英语流行歌曲和民歌语料库中情感词画的探索性分析。作者被称赞为他们将计算工具应用到一个令人印象深刻的大样本中,这是一个尚未充分研究的音乐类型,以及他们将音乐特征映射到单个单词的语义内容的详细分析水平。然而,这项工作的缺点是缺乏先验预测,这导致了多重比较问题,导致统计能力的急剧下降。由于缺乏激励假设,音乐特征和分析策略的选择有时也显得武断。本文认为,动物情感声音交流的行为学文献可能为未来关于这一主题的假设驱动研究提供一条途径。
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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