Adyasha Dash and Kat R. Agres review the burgeoning field of AI-based affective music generation (AI-AMG) in their paper ‘AI-Based Affective Music Generation Systems: A Review of Methods, and Challenges’. The paper lays out the framework of AI-AMG systems and categorizes existing ones based on their core algorithms. It highlights the musical features crucial for composing affective music and discusses AI-driven methods for tailoring them.

• Reviews methods and challenges in AI-powered affective music generation systems.
• Categorizes systems by algorithm and discusses musical features for emotional impact.
• Identifies challenges and potential solutions guiding future research.
• Highlights AI-AMG’s impact on entertainment, healthcare, and interactive system design.

As AI continues to deepen its roots in creative endeavors, this paper serves as a significant resource for researchers and developers in the field, outlining the current state and the horizon of possibilities for AI-AMG. Read More