智能科学与技术学报 (Jun 2024)
Parallel music: human-machine hybrid music creation and performance in the era of large models
Abstract
As foundational models in specialized fields like sound art have rapidly advanced, the convergence of artificial intelligence with music creation and performance has become increasingly pronounced. A novel framework for music creation and performance called the parallel music system was proposed. Grounded in parallel systems theory and the artificial system, computational experiments, parallel execution (ACP) approach, this system stimulates the real-world music creation and performance environments to build highly authentic virtual scenarios. It facilitates real-time, seamless interactions between the virtual and real music systems and outlines the technological strategies for music creation and performance in the era of large models, incorporating a hybrid team of humans, digital beings, and robots. Additionally, the theoretical framework of parallel music and its critical technologies are discussed, the innovative contributions and potential in the modern music field are evaluated, the applications in scenarios like music generation and music therapy are examined. The objective is to harness the emerging AI technologies of the large model era to enhance traditional paths in music creation, drive technological advancements in music performance, unlock the creative potential of musicians, and offer fresh perspectives and inspirations for music creation and performance in the new era.
