Brian A. Miller
Papers
1
Total Citations
4
H-Index
1
About
Brian A. Miller is a scholar whose work bridges the intersection of computer science, music, and human creativity, with a particular focus on the dynamics of improvisation. His research centers on the development and analysis of computer music systems that can convincingly improvise alongside human musicians, drawing heavily from the traditions of jazz. Miller’s major contribution lies in critically examining how machine learning is applied to imitate human stylistic nuances in real-time performance, questioning not only the technical feasibility but also the aesthetic and philosophical implications of such systems. His most-cited paper, “All of the Rules of Jazz” (2020), has garnered 4 citations and serves as a foundational critique of the assumptions behind AI-driven improvisation. While his citation count is modest, Miller’s work is notable for its depth and interdisciplinary reach, offering a rare synthesis of technical implementation and artistic critique. He continues to influence emerging research in creative AI, challenging both engineers and musicians to reconsider what it means for a machine to “understand” jazz.
Research Focus
Key Achievements
Top Papers
- 1“All of the Rules of Jazz”4 citations · 2020