Humanizing AI Generated Music – Do Listeners Hear a Difference?

Collins K, Manji A. Humanizing AI Generated Music – Do Listeners Hear a Difference? In: Express Paper. Audio Engineering Society; 2024. Paper 203. Available from: https://aes.org/publications/elibrary-page/?id=22549

@inproceedings{Collins2024_22549,
  author = {Collins, KC and Manji, Adel},
  title = {{Humanizing AI Generated Music – Do Listeners Hear a Difference?}},
  note = {Paper 203},
  year = {2024},
  month = jun,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=22549}
}

TY  - CPAPER
TI  - Humanizing AI Generated Music – Do Listeners Hear a Difference?
AU  - Collins, KC
AU  - Manji, Adel
M1  - Paper 203
PY  - 2024
DA  - 2024/06/06
UR  - https://aes.org/publications/elibrary-page/?id=22549
PB  - Audio Engineering Society
LA  - en
AB  - The rise of large language model AI generative tools has resulted in multiple AI music generators being made available to the public. But how good are they at tricking us into believing that they may be human-created? And can we manipulate the music produced to sound more human using production techniques like adding small human sound effects or introducing convolution reverbs? We ran four internet-based listening studies to try to answer these questions. AI-generated music was able to fool approximately half of the listeners into believing that it could be human generated. However, our interventions did not increase the likelihood of the music being labelled human-generated
ER  -