Thesis Abstract

Abstract
This thesis investigates the innovative integration of artificial intelligence (AI) technologies in the realm of music composition and performance. The primary objective is to explore the potential of AI systems to revolutionize creative processes in music, offering new avenues for artistic expression and collaboration between human musicians and intelligent machines. The study encompasses a comprehensive literature review, a detailed research methodology, an in-depth analysis of findings, and a concluding summary of insights gained. The introduction sets the stage by outlining the background of the study, defining the research problem, stating the objectives, and identifying the limitations and scope of the research. The significance of the study is underscored by its potential to transform traditional music-making paradigms through the application of cutting-edge AI technologies. The structure of the thesis provides a roadmap for navigating the subsequent chapters, ensuring a logical flow of information and analysis. Chapter two delves into a meticulous literature review spanning ten critical areas related to AI applications in music composition and performance. This review synthesizes existing knowledge, identifies gaps in the research, and establishes a theoretical foundation for the empirical investigation. Chapter three outlines the research methodology, encompassing eight key components that guide the empirical investigation. These components include data collection methods, sample selection criteria, AI algorithm selection, performance evaluation metrics, and ethical considerations. The methodology is designed to ensure rigor, validity, and reliability in the research process. Chapter four presents a detailed discussion of the empirical findings, drawing insights from the application of AI technologies in music composition and performance. The analysis covers a range of themes, including the impact of AI on creativity, collaboration between human musicians and AI systems, the role of AI in enhancing musical expression, and implications for the future of music creation. Finally, chapter five offers a comprehensive conclusion and summary of the thesis, highlighting key findings, implications for practice, theoretical contributions, and avenues for future research. The thesis contributes to a deeper understanding of the transformative potential of AI in the field of music, offering new perspectives on the intersection of technology and creativity. In conclusion, this thesis presents a groundbreaking exploration of AI applications in music composition and performance, shedding light on the evolving landscape of musical creativity in the digital age. By bridging the gap between human artistry and machine intelligence, this research opens up exciting possibilities for innovation and collaboration in the field of music.

Thesis Overview

The project titled "An Exploration of Artificial Intelligence Applications in Music Composition and Performance" aims to investigate the utilization of artificial intelligence (AI) in the realm of music composition and performance. This research seeks to delve into the intersection between technology and music, exploring how AI systems can enhance and transform the creative processes involved in composing and performing music. By examining the current landscape of AI applications in music, the study will provide insights into the potential benefits and challenges of integrating AI technology into musical practices. The research will begin with a comprehensive review of existing literature on AI in music, covering topics such as AI algorithms for music generation, machine learning techniques for analyzing musical data, and AI-driven tools for enhancing musical performance. This literature review will serve as a foundation for understanding the current state of AI in music and identifying key areas for further exploration. Moving forward, the study will employ a mixed-methods research approach to investigate the impact of AI on music composition and performance. Through empirical research methods, including surveys, interviews, and case studies, the project aims to gather data from musicians, composers, and AI experts to gain insights into their perspectives on the use of AI in music creation. By analyzing this data, the research will be able to identify the opportunities and challenges presented by AI technology in the context of music composition and performance. Furthermore, the project will explore the ethical implications of AI in music, considering issues such as authorship, creativity, and the human-machine relationship in musical collaboration. By engaging with these ethical considerations, the study aims to contribute to the ongoing discourse on the role of AI in creative industries and the implications for artistic expression and cultural production. Overall, this research seeks to advance our understanding of the potential of AI in music composition and performance, offering valuable insights into how technology can shape the future of musical practices. By exploring the opportunities and challenges of integrating AI into music creation, the study aims to provide a nuanced perspective on the evolving relationship between technology, creativity, and artistic expression in the digital age.