Exploring Real-Time Music-to-Image Systems for Creative Inspiration in Music Creation
Abstrak
This paper presents a study on the use of a real-time music-to-image system as a mechanism to support and inspire musicians during their creative process. The system takes MIDI messages from a keyboard as input which are then interpreted and analysed using state-of-the-art generative AI models. Based on the perceived emotion and music structure, the system's interpretation is converted into visual imagery that is presented in real-time to musicians. We conducted a user study in which musicians improvised and composed using the system. Our findings show that most musicians found the generated images were a novel mechanism when playing, evidencing the potential of music-to-image systems to inspire and enhance their creative process.
Topik & Kata Kunci
Penulis (3)
Meng Yang
Maria Teresa Llano
Jon McCormack
Akses Cepat
- Tahun Terbit
- 2024
- Bahasa
- en
- Sumber Database
- arXiv
- Akses
- Open Access ✓