Abstract
Music, the third art that has accompanied the development of human civilization, has played a vital role in human expression of emotions from ancient times to the present. It has played a vital role in human expression of emotions from ancient times to the present. This study describes three different ways of musical emotional extraction within the current research field: a. Extraction by measuring the physiological characteristics of the subject; b. text feature extraction by analyzing lyrics in songs and c. extraction by analyzing audio features. This paper also discusses the research results of three different groups of researchers to use specific emotions for music creation by designing and applying the GA based on KTH rule system, the mLSMN with logistic regression, and the MAgentM framework. The purpose of this research is to provide reference materials for subsequent researchers through the detailed introduction of the MER method, and to provide industry stakeholders with an outlook for the music industry.
Publisher
Darcy & Roy Press Co. Ltd.
Reference15 articles.
1. Perlovsky L. Musical emotions: Functions, origins, evolution. Physics of life reviews, 2010, 7(1): 2-27.
2. De Berardinis J, Cangelosi A, Coutinho E. The multiple voices of musical emotions: Source separation for improving music emotion recognition models and their interpretability. Proceedings of the 21st international society for music information retrieval conference. 2020: 310-317.
3. Liu J, Huang M. Music emotion understanding by computer based on BP neural network. 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI). IEEE, 2017: 1-5.
4. Kim Y E, Schmidt E M, Migneco R, et al. Music emotion recognition: A state of the art review. Proc. ismir. 2010, 86: 937-952.
5. Russell J A. A circumplex model of affect. Journal of personality and social psychology, 1980, 39(6): 1161.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Assessment of Human Emotional Responses to AI–Composed Music: A Systematic Literature Review;2024 International Research Conference on Smart Computing and Systems Engineering (SCSE);2024-04-04