Analysis of the Capabilities and Limitations of Artificial Intelligence in Automating Mixing and Mastering

Mojtaba Ahmadi¹

1) PhD Candidate in Comparative and Analytical History of Islamic Art, Faculty of Art and Architecture, Central Tehran Branch, Islamic Azad University, Tehran, Iran.

Publication : 3rd International Conference on Recent Advances in Engineering, Innovation and Technology - Belgium(eitconf.com)
Abstract :
Abstract In recent years, artificial intelligence (Ai) has become one of the key tools in the music industry, especially in complex processes such as mixing and mastering. This study aims to analyze the capabilities and limitations of (Ai) in automating these processes. The research methodology is a combination of comparative analysis and qualitative study. Initially, a review of the latest technologies in the field of mixing and mastering was conducted, followed by a comparison between AI-based tools and traditional methods. The findings indicate that (Ai) tools have significantly improved the quality and speed of mixing and mastering processes. These tools offer capabilities such as precise and automated sound adjustments, reducing human errors, and increasing efficiency. However, there are also limitations, including the ongoing need for human oversight to achieve desirable results and mitigate errors related to the lack of creativity and artistic understanding. This study offers recommendations to improve the interaction between humans and AI in these processes, which can contribute to enhancing the quality and efficiency of music production. Keywords: Artificial Intelligence, Mixing and Mastering, Automation, Music Production, iZotope, LANDR
Keywords : artificial intelligence mixing and mastering automation music production izotope landr