论文标题

基于音景模型的西方和中国古典音乐的比较研究

A Comparative Study of Western and Chinese Classical Music based on Soundscape Models

论文作者

Fan, Jianyu, Yang, Yi-Hsuan, Dong, Kui, Pasquier, Philippe

论文摘要

无论是从字面上还是暗示,在现代音乐和古老的音乐中都暗示了音景的概念。在这项研究中,我们检查了是否可以根据音景模型分析和比较西方和中国古典音乐。我们通过比较研究解决了这个问题。具体而言,通过众包实验,对西方古典音乐摘录(WCMED)和中国古典音乐摘录(CCMed)进行了策划和注释。我们使用传递学习的声音事件检测(SED)和音景情感识别(SER)模型来预测WCMED和CCMED的感知情绪。结果表明,SER和SED模型均可用于分析中国和西方古典音乐。 SER和SED在中国古典音乐情感识别上更好地工作的事实提供了证据,表明中国古典音乐和音景录音之间存在某些相似之处,这允许在机器学习模型之间进行可转移。

Whether literally or suggestively, the concept of soundscape is alluded in both modern and ancient music. In this study, we examine whether we can analyze and compare Western and Chinese classical music based on soundscape models. We addressed this question through a comparative study. Specifically, corpora of Western classical music excerpts (WCMED) and Chinese classical music excerpts (CCMED) were curated and annotated with emotional valence and arousal through a crowdsourcing experiment. We used a sound event detection (SED) and soundscape emotion recognition (SER) models with transfer learning to predict the perceived emotion of WCMED and CCMED. The results show that both SER and SED models could be used to analyze Chinese and Western classical music. The fact that SER and SED work better on Chinese classical music emotion recognition provides evidence that certain similarities exist between Chinese classical music and soundscape recordings, which permits transferability between machine learning models.

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