Sara Cardinale

ORCID: 0009-0008-0046-1962
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About
Contact & Profiles
Research Areas
  • Music Technology and Sound Studies
  • Creativity in Education and Neuroscience

Queen Mary University of London
2024

Re ection is fundamental to creative practice.However, the plurality of ways in which people re ect when using AI Generated Content (AIGC) underexplored.This paper takes AI-based music composition as a case study explore how artist-researcher composers ected integrating AIGC into their process.The tools explored range from Markov Chains for generation Variational Auto-Encoders modifying timbre.We used novel method where our would pause and back on screenshots composing after every hour, this...

10.1145/3635636.3656185 article EN Creativity and Cognition 2024-06-22
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