TY - JOUR
T1 - Advancing generative AI for music with photonics
AU - Miranda, Eduardo
AU - Brian, Siegelwax
N1 - DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.
PY - 2025/8/10
Y1 - 2025/8/10
N2 - This paper presents PhotoSing, a system that learns to generate polyphonic tunes by extracting sequencing rules from given examples. We developed a method to encode given pieces of music in terms of unique musical events, referred to as UMEs, and stochastic rules for sequencing them. Those rules are subsequently converted into representations to be processed by a photonic computer to generate new compositions. This research builds upon a previous system, QuSing, which generated monophonic tunes with superconducting quantum computing. The paper discusses the pitfalls of the previous system, the research and the solutions developed to improve them. It details the system with demonstrative musical examples and analyses.
AB - This paper presents PhotoSing, a system that learns to generate polyphonic tunes by extracting sequencing rules from given examples. We developed a method to encode given pieces of music in terms of unique musical events, referred to as UMEs, and stochastic rules for sequencing them. Those rules are subsequently converted into representations to be processed by a photonic computer to generate new compositions. This research builds upon a previous system, QuSing, which generated monophonic tunes with superconducting quantum computing. The paper discusses the pitfalls of the previous system, the research and the solutions developed to improve them. It details the system with demonstrative musical examples and analyses.
KW - Quantum Computer Music
KW - Artificial Intelligence
KW - Music Technology
KW - photonic computing
KW - generative systems
KW - music and AI
KW - Quantum computer music
UR - https://www.tandfonline.com/doi/full/10.1080/17445760.2025.2472209
UR - https://pearl.plymouth.ac.uk/ada-research/608/
UR - https://dblp.org/db/journals/paapp/paapp40.html#MirandaS25
U2 - 10.1080/17445760.2025.2472209
DO - 10.1080/17445760.2025.2472209
M3 - Article
SN - 1744-5760
VL - 40
SP - 481
EP - 500
JO - International Journal of Parallel, Emergent and Distributed Systems
JF - International Journal of Parallel, Emergent and Distributed Systems
IS - 5
M1 - 5
ER -