基于音景模型的中西古典音乐比较研究（CS SD）
- 2020 年 3 月 17 日
- 笔记
无论是从字面上还是从暗示上，音景的概念在现代和古代音乐中都有所提及。在这项研究中，我们检验我们是否可以分析和比较基于音景模型的西方和中国古典音乐。我们通过比较研究解决了这个问题。具体来说，通过众包实验，对西方古典音乐选段(WCMED)和中国古典音乐选段(CCMED)的语料库进行策划和注释，并赋予其情感效价和唤起。我们使用带转移学习的声音事件检测(SED)和声景情绪识别(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西古典音乐。SER和SED在中国古典音乐情感识别方面的效果更好，这一事实证明，中国古典音乐和音景录音之间存在一定的相似性，这使得机器学习模型之间具有可转移性。
原文题目：A Comparative Study of Western and Chinese Classical Music based on Soundscape Models
原文：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.
原文作者：Jianyu Fan, Yi-Hsuan Yang, Kui Dong, Philippe Pasquier
原文地址：http://cn.arxiv.org/abs/2002.09021
