AI IN MUSIC PRODUCTION: COMPOSITION, ARRANGEMENT AND MASTERING

Abstract

In the last decade, there has been a significant development of artificial intelligence, which brings a revolution in music production through the automation of composing and arranging techniques and mastering. This paper aims to examine how artificial intelligence and machine learning they are changing the way music is created and produced. After analyzing the available technology and research on how artificial intelligence works and how music producers work, this paper concludes that artificial intelligence does not replace human creativity, but becomes it another co-creative tool for musicians. The work proves that music created by using artificial intelligence technologies, especially using LSTM (Long Short-Term Memory), Transformer and GAN (Generative Adversarial Network), changes the way in which music produces and at the same time raises relevant questions about authenticity, copyright and even the need for musicians in the near future. Conclusion points to the need for a new understanding of the role of artificial intelligence as a "co-producer" which requires innovative approaches in education and ethical regulation in music industry.