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dc.contributor.authorMcDonagh, Aoife
dc.contributor.authorLemley, Joseph
dc.contributor.authorCassidy, Ryan
dc.contributor.authorCorcoran, Peter
dc.date.accessioned2021-04-07T12:52:40Z
dc.date.available2021-04-07T12:52:40Z
dc.date.issued2018-08-15
dc.identifier.citationMcDonagh, Aoife, Lemley, Joseph, Cassidy, Ryan, & Corcoran, Peter. (2018). Synthesizing game audio using deep neural networks. Paper presented at the 2018 IEEE Games, Entertainment, Media Conference (GEM), Galway, Ireland, 15-17 August.en_IE
dc.identifier.urihttp://hdl.handle.net/10379/16684
dc.description.abstractHigh 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.en_IE
dc.description.sponsorshipThis research is funded under the SFI Strategic Partnership Program by Science Foundation Ireland (SFI) and FotoNation Ltd. Project ID: 13/SPP/I2868 on Next Generation Imaging for Smartphone and Embedded Platforms. This work is also supported Irish Research Council Employment Based Programme Awards EBP/2017/476 and EBPPG/2016/280en_IE
dc.formatapplication/pdfen_IE
dc.language.isoenen_IE
dc.publisherInstitute of Electrical and Electronics Engineersen_IE
dc.relation.ispartofSynthesizing Game Audio Using Deep Neural Networksen
dc.subjectGame Audioen_IE
dc.subjectDeep Neural Networksen_IE
dc.titleSynthesizing game audio using deep neural networksen_IE
dc.typeConference Paperen_IE
dc.date.updated2021-04-02T17:04:24Z
dc.identifier.doi10.1109/GEM.2018.8516448
dc.local.publishedsourcehttps://dx.doi.org/10.1109/GEM.2018.8516448en_IE
dc.description.peer-reviewedpeer-reviewed
dc.contributor.funderScience Foundation Irelanden_IE
dc.contributor.funderFotoNation Limiteden_IE
dc.contributor.funderIrish Research Councilen_IE
dc.internal.rssid15715802
dc.local.contactPeter Corcoran, Electrical & Electronic Eng, Room 3041, Engineering Building, Nui Galway. 2764 Email: peter.corcoran@nuigalway.ie
dc.local.copyrightcheckedYes
dc.local.versionACCEPTED
dcterms.projectinfo:eu-repo/grantAgreement/SFI/SFI Strategic Partnership Programme/13/SPP/I2868/IE/Next Generation Imaging for Smartphone and Embedded Platforms/en_IE
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