Paper Details

Name: Kanwaldip Kaur
Country: India

Year: 2024
Volume: Volume-11, Issue-1 (January-June)
Page Number: 151-156

Modernism has affected all of the arts with its core value of subjectivity, which distorted the objective basis of aesthetic judgment. Literature was impacted the least, fine art was substantially impacted, and music has been completely dominated by it. Music composers originally wrote compositions by hand to express themselves. Since the discovery of artificial intelligence, computer scientists discover how to create a program that will help music composers write their compositions. The hypothesis of the paper is that the domain of Natural Languages Processing (NLP) resembles current research in music so one could benefit from this by employing NLP techniques to music. In this paper the similarity between both domains is described. The levels of NLP are listed with pointers to respective tasks within the research of computational music. A brief introduction to history of NLP enables locating music research in this history. Possible directions of research in music, assuming its affinity to NLP, are introduced. Current research in generational and statistical music modeling is compared to similar NLP theories. The paper is concluded with guidelines for music research and information retrieval.