Generating Real Time Adaptive Game Music

dc.contributor.advisorAljanaki, Anna, juhendaja
dc.contributor.authorBaranin, Ingvar
dc.contributor.otherTartu Ülikool. Loodus- ja täppisteaduste valdkondet
dc.contributor.otherTartu Ülikool. Arvutiteaduse instituutet
dc.date.accessioned2023-09-08T07:38:02Z
dc.date.available2023-09-08T07:38:02Z
dc.date.issued2021
dc.description.abstractThis thesis aims to construct and train an LSTM-based machine learning model that can automatically generate real time adaptive video game music. In order to demonstrate its capabilities, a game using the model’s music is developed. A review of similar existing works and the methodology of the thesis is provided, as well as the analysis of the final product.et
dc.identifier.urihttps://hdl.handle.net/10062/92017
dc.language.isoenget
dc.publisherTartu Ülikoolet
dc.rightsopenAccesset
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectVideo game musicet
dc.subjectartificial intelligenceet
dc.subjectLSTMet
dc.subject.otherbakalaureusetöödet
dc.subject.otherinformaatikaet
dc.subject.otherinfotehnoloogiaet
dc.subject.otherinformaticset
dc.subject.otherinfotechnologyet
dc.titleGenerating Real Time Adaptive Game Musicet
dc.typeThesiset

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