Procedural Audio Using Generalized Granular Synthesis

Falk T, Ramakrishna R, de Bruijn W. Procedural Audio Using Generalized Granular Synthesis. In: AES 2024 International Conference on Audio for Virtual and Augmented Reality. Audio Engineering Society; 2024. Paper 25. Available from: https://aes.org/publications/elibrary-page/?id=22674

@inproceedings{Falk2024_22674,
  author = {Falk, Tommy and Ramakrishna, Raksha and de Bruijn, Werner},
  title = {{Procedural Audio Using Generalized Granular Synthesis}},
  booktitle = {AES 2024 International Conference on Audio for Virtual and Augmented Reality},
  note = {Paper 25},
  year = {2024},
  month = aug,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=22674}
}

TY  - CPAPER
TI  - Procedural Audio Using Generalized Granular Synthesis
AU  - Falk, Tommy
AU  - Ramakrishna, Raksha
AU  - de Bruijn, Werner
T2  - AES 2024 International Conference on Audio for Virtual and Augmented Reality
M1  - Paper 25
PY  - 2024
DA  - 2024/08/05
UR  - https://aes.org/publications/elibrary-page/?id=22674
PB  - Audio Engineering Society
LA  - en
AB  - This paper presents a method for generating procedural audio using a form of granular synthesis where several aspects of the sound can be controlled dynamically in real-time. Original recordings are partitioned into small parts, a.k.a. grains, that are stored in a multi-dimensional database. Using a weighted random selection of grains, a natural output signal can be generated without repeating grains. The granular databases can be stored in a newly defined file format based on the open storage format HDF5, which means that granular databases can be created and shared for re-use in multiple productions. The method described in this paper has been adopted into the new MPEG-I Immersive audio standard for 6DoF VR and AR audio.
ER  -