基於音景模型的中西古典音樂比較研究（CS SD）
- 2020 年 3 月 17 日
- 筆記
無論是從字面上還是從暗示上，音景的概念在現代和古代音樂中都有所提及。在這項研究中，我們檢驗我們是否可以分析和比較基於音景模型的西方和中國古典音樂。我們通過比較研究解決了這個問題。具體來說，通過眾包實驗，對西方古典音樂選段(WCMED)和中國古典音樂選段(CCMED)的語料庫進行策劃和注釋，並賦予其情感效價和喚起。我們使用帶轉移學習的聲音事件檢測(SED)和聲景情緒識別(SER)模型來預測WCMED和CCMED的感知情緒。結果表明，SER和SED模型均可用於分析中西古典音樂。SER和SED在中國古典音樂情感識別方面的效果更好，這一事實證明，中國古典音樂和音景錄音之間存在一定的相似性，這使得機器學習模型之間具有可轉移性。
原文題目：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
