AI Driven music Playlist Genration

Kidane, Naboni Thomas

AI Driven music Playlist Genration

Persistent URL

https://hdl.handle.net/10456/57740

Author(s)

Kidane, Naboni Thomas

Date Issued

May 3, 2024

Abstract

Artificial Intelligence (AI) has the potential to revolutionize the music industry. As outlined in my senior thesis presentation, AI-based music generation can automate routine tasks, offer new creative possibilities, and enable personalized music creation. However, AI-based music generation has challenges and limitations, such as the need for diverse datasets and difficulty evaluating the quality of generated music. Ethical considerations in using AI for creative processes are also a concern. This research paper delves into the challenges and limitations of AI-based music generation. We discuss the need for diverse datasets, the difficulty in evaluating the quality of generated music, and the ethical considerations in using AI for creative processes. We then propose an architectural drafting and planning workflow that addresses these challenges. Our workflow involves user prompts with text, AI-generated audio, and downloadable audio. We believe that this workflow can help to improve the quality of AI-generated music and make it more accessible to all users. When working on this project, I systematically reviewed several papers related to AI and music generation. Based on my review, I found that AI-based music generation has the potential to transform the music industry by automating routine tasks, offering new creative possibilities, and enabling personalized music creation. However, challenges and limitations to AI-based music generation still need to be addressed. This research highlights the transformative potential of AI for the music industry. AI-based music generation can make music more accessible, creative, and personalized. However, challenges and limitations still need to be addressed before AI can be fully integrated into the music industry.

Major

Informatics

First Reader(s)

Bonham-Carter, Oliver N.