Abstract
High quality audio plays an important role in gaming, contributing to player immersion during gameplay. Creating audio content which matches overall theme and aesthetic is essential, such that players can become fully engrossed in a game environment. Sound effects must also fit well with visual elements of a game so as not to break player immersion. Producing suitable, unique sound effects requires the use of a wide range of audio processing techniques. In this paper, we examine a method of generating in-game audio using Generative Adversarial Networks, and compare this to traditional methods of synthesizing and augmenting audio.
| Original language | English (Ireland) |
|---|---|
| Title of host publication | Synthesizing Game Audio Using Deep Neural Networks |
| Number of pages | 4 |
| DOIs | |
| Publication status | Published - 1 Dec 2018 |
Authors (Note for portal: view the doc link for the full list of authors)
- Authors
- McDonagh, A,Lemley, J,Cassidy, R,Corcoran, P,