Outputs (6)

Evaluating the graphics processing unit for digital audio synthesis and the development of HyperModels (2023)
Thesis
Renney, H. Evaluating the graphics processing unit for digital audio synthesis and the development of HyperModels. (Thesis). University of the West of England. Retrieved from https://uwe-repository.worktribe.com/output/9271061

The extraordinary growth in computation in single processors for almost half a century is becoming increasingly difficult to maintain. Future computational growth is expected from parallel processors, as seen in the increasing number of tightly coup... Read More about Evaluating the graphics processing unit for digital audio synthesis and the development of HyperModels.

Studying how digital luthiers choose their tools (2022)
Conference Proceeding
Renney, N., Renney, H., Mitchell, T. J., & Gaster, B. R. (2022). Studying how digital luthiers choose their tools. . https://doi.org/10.1145/3491102.3517656

Digital lutherie is a sub-domain of digital craft focused on creating digital musical instruments: high-performance devices for musical expression. It represents a nuanced and challenging area of human-computer interaction that is well established an... Read More about Studying how digital luthiers choose their tools.

HyperModels - A framework for GPU accelerated physical modelling sound synthesis (2022)
Conference Proceeding
Renney, H., Willemsen, S., Gaster, B. R., & Mitchell, T. J. (2022). HyperModels - A framework for GPU accelerated physical modelling sound synthesis. . https://doi.org/10.21428/92fbeb44.98a4210a

Physical modelling sound synthesis methods generate vast and intricate sound spaces that are navigated using meaningful parameters. Numerical based physical modelling nsynthesis methods provide authentic representations of the physics they model. Unf... Read More about HyperModels - A framework for GPU accelerated physical modelling sound synthesis.

Survival of the synthesis—GPU accelerating evolutionary sound matching (2022)
Journal Article
Renney, H., Gaster, B., & Mitchell, T. J. (2022). Survival of the synthesis—GPU accelerating evolutionary sound matching. Concurrency and Computation: Practice and Experience, 34(10), Article e6824. https://doi.org/10.1002/cpe.6824

Manually configuring synthesizer parameters to reproduce a particular sound is a complex and challenging task. Researchers have previously used different optimization algorithms, including evolutionary algorithms to find optimal sound matching soluti... Read More about Survival of the synthesis—GPU accelerating evolutionary sound matching.

There and Back Again: The Practicality of GPU Accelerated Digital Audio (2020)
Presentation / Conference
Renney, H., Gaster, B. R., & Mitchell, T. J. (2020, July). There and Back Again: The Practicality of GPU Accelerated Digital Audio. Paper presented at NIME’20: Proceedings of the 20th New Interfaces for Musical Expression, Online

General-Purpose GPU computing is becoming an increas-ingly viable option for acceleration, including in the audiodomain. Although it can improve performance, the intrin-sic nature of a device like the GPU involves data transfersand execution commands... Read More about There and Back Again: The Practicality of GPU Accelerated Digital Audio.

OpenCL vs: Accelerated finite-difference digital synthesis (2019)
Conference Proceeding
Renney, H., Gaster, B. R., & Mitchell, T. (2019). OpenCL vs: Accelerated finite-difference digital synthesis. . https://doi.org/10.1145/3318170.3318172

© 2019 Copyright held by the owner/author(s). Publication rights licensed to ACM. Digital audio synthesis has become an important component of modern music production with techniques that can produce realistic simulations of real instruments. Physica... Read More about OpenCL vs: Accelerated finite-difference digital synthesis.