论文标题
在印度古典音乐中利用Raga-Rasa协会进行音乐情绪进行分类的双重采样方法
Bi-Sampling Approach to Classify Music Mood leveraging Raga-Rasa Association in Indian Classical Music
论文作者
论文摘要
音乐对听众的情绪或情感的影响是人类心理学和行为科学领域的一个经过深入研究的领域。在印度古典音乐中，拉加斯是定义音乐的各种风格和形式的旋律结构。发现每个raga都唤起听众中的特定情感。随着音频信号处理的高级功能的出现以及机器学习的应用，对智能音乐分类器和推荐人的需求已受到越来越多的关注，尤其是在“音乐作为服务”云应用程序中。本文探讨了一个新颖的框架，以利用印度古典音乐中的Raga-Rasa协会来建立一个智能分类器及其在音乐推荐系统中的应用，以用户的当前情绪和他们渴望进入的心情。
The impact of Music on the mood or emotion of the listener is a well-researched area in human psychology and behavioral science. In Indian classical music, ragas are the melodic structure that defines the various styles and forms of the music. Each raga has been found to evoke a specific emotion in the listener. With the advent of advanced capabilities of audio signal processing and the application of machine learning, the demand for intelligent music classifiers and recommenders has received increased attention, especially in the 'Music as a service' cloud applications. This paper explores a novel framework to leverage the raga-rasa association in Indian classical Music to build an intelligent classifier and its application in music recommendation system based on user's current mood and the mood they aspire to be in.
