Future of Artificial Intelligence in Music Industry: The Connection Between Generative AI And Music Production
Novikova, Kristina (2024)
Novikova, Kristina
2024
All rights reserved. This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2024052817200
https://urn.fi/URN:NBN:fi:amk-2024052817200
Tiivistelmä
In the era of digitalization and technological progress, artificial intelligence is a fast-developing technology which plays a significant role in our lives. Nowadays AI is incorporated in many business fields, including music industry. Generative AI has been a dominating type of artificial intelligence in music business, creating new opportunities as well as causing unexpected challenges. Thus, contribution of AI and how it is implemented in music industry should be studied.
The research objectives were focused on examining generative AI, assessing the significance of its role in music production process as well as studying the contribution of artificial intelligence to the future of mu-sic industry.
First, in order to meet the established objectives, theoretical framework was created through examining the existing literature related to the topic. Additionally, data for the research was obtained from two online discussion forums to conduct qualitative research. The research was conducted through carrying out content analysis of the collected data.
Achieved results consisted of insightful views and opinions of users regarding merits and demerits of generative AI in music production and future role of artificial intelligence in music industry. The study revealed the nature of users’ predictions regarding future implementations of AI in music industry as well as how generative AI benefits the music production process and what issues in the production process were caused by AI.
The research objectives were focused on examining generative AI, assessing the significance of its role in music production process as well as studying the contribution of artificial intelligence to the future of mu-sic industry.
First, in order to meet the established objectives, theoretical framework was created through examining the existing literature related to the topic. Additionally, data for the research was obtained from two online discussion forums to conduct qualitative research. The research was conducted through carrying out content analysis of the collected data.
Achieved results consisted of insightful views and opinions of users regarding merits and demerits of generative AI in music production and future role of artificial intelligence in music industry. The study revealed the nature of users’ predictions regarding future implementations of AI in music industry as well as how generative AI benefits the music production process and what issues in the production process were caused by AI.