Abstract
The incorporation of artificial intelligence and machine learning into intelligent music applications presents fresh avenues for musical expression. These applications allow the production of emotionally responsive pieces by analysing and interpreting the emotions conveyed within music. Furthermore, they aid collaborative music-making by connecting musicians in diverse locations and enabling real-time collaboration via cloud-based platforms. The objective of this research is to present information regarding the production, distribution, and consumption of music, which has a close association with technology. Through document analysis, the prospective advantages of incorporating artificial intelligence and machine learning into the music industry are assessed from diverse vantage points, analysing potential models and areas of application. It also proposes further research to enhance artificial intelligence and machine learning algorithms, guaranteeing their responsible and ethical use, and unlocking new avenues for musical innovation.
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