A Survey of High-Level Descriptors in Sound Design: Understanding the Key Audio Aesthetics Towards Developing Generative Game Audio Engines

Anderson C, Carpenter C, Kranabetter J, Thorogood M. A Survey of High-Level Descriptors in Sound Design: Understanding the Key Audio Aesthetics Towards Developing Generative Game Audio Engines. In: AES Conference: AES 2024 International Audio for Games Conference. Audio Engineering Society; 2024. Paper 7. Available from: https://aes.org/publications/elibrary-page/?id=22412

@inproceedings{Anderson2024_22412,
  author = {Anderson, Christopher and Carpenter, Craig and Kranabetter, Joshua and Thorogood, Miles},
  title = {{A Survey of High-Level Descriptors in Sound Design: Understanding the Key Audio Aesthetics Towards Developing Generative Game Audio Engines}},
  booktitle = {AES Conference: AES 2024 International Audio for Games Conference},
  note = {Paper 7},
  year = {2024},
  month = apr,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=22412}
}

TY  - CPAPER
TI  - A Survey of High-Level Descriptors in Sound Design: Understanding the Key Audio Aesthetics Towards Developing Generative Game Audio Engines
AU  - Anderson, Christopher
AU  - Carpenter, Craig
AU  - Kranabetter, Joshua
AU  - Thorogood, Miles
T2  - AES Conference: AES 2024 International Audio for Games Conference
M1  - Paper 7
PY  - 2024
DA  - 2024/04/06
UR  - https://aes.org/publications/elibrary-page/?id=22412
PB  - Audio Engineering Society
LA  - en
AB  - Sound design plays a critical role in enhancing the impact of audio content for video games and immersive environments. However, the subjective nature of sound perception and aesthetics makes it challenging to define the key features for advancing the development of techniques and tools for analyzing, searching, and organizing sound design signals. To address this issue, we conducted a survey of sound design practitioners to identify the most relevant high-level descriptors (HLDs) that define audio aesthetics. The results of this study provide valuable insights into the most important HLDs for various sound design analysis and modeling tasks toward developing computational assistive technologies for game audio.
ER  -