The Use of Explainable Artificial Intelligence in Music—Take Professor Nick Bryan-Kinns’ “XAI+Music” Research as a Perspective

Abstract

This paper mainly uses the comparative analysis method and the case analysis method to explain the explainable artificial intelligence (XAI) in music. The use of XAI in music is real-time interactive, and the more explainable and transparent, the more accurate it is. Interpretability can occur in or after modeling, and deep learning provides theoretical support for XAI. Professor Nick Bryan-Kinns' team made a breakthrough through experimental research on “XAI+Music” with the difficulties currently being explained by artificial intelligence, XAI technology has been directly applied to the creative AI model, for “XAI+Music” development and innovation provide references and ideas.