DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | 남주한 | - |
dc.contributor.author | Carusi, Carolina | - |
dc.contributor.author | 카루지카롤리나 | - |
dc.date.accessioned | 2024-07-30T19:30:47Z | - |
dc.date.available | 2024-07-30T19:30:47Z | - |
dc.date.issued | 2024 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=1096182&flag=dissertation | en_US |
dc.identifier.uri | http://hdl.handle.net/10203/321397 | - |
dc.description | 학위논문(석사) - 한국과학기술원 : 문화기술대학원, 2024.2,[iv, 25 p. :] | - |
dc.description.abstract | This research aims to automatically generate high-quality beatmaps using a deep learning algorithm. Beatmaps are patterns of action events mapped on a timeline of musical beats that constitute a level of a rhythm game. They are typically handcrafted, limiting the number of available songs and adaptability to different skill levels and musical preferences. For this reason, players often resort to manual beatmap creation, a time-consuming and repetitive process that requires great precision and attention to detail. The proposed approach employs a C-LSTM architecture with feature-wise linear modulation (FiLM) layers to predict action patterns that match the desired level of challenge, given source separated audio as input. This study contributes to improving difficulty control and rhythm pattern accuracy in beatmap generation, and establishing criteria for beatmap data collection and evaluation. The results allow developers and players to focus on originality and details, enabling minor video game publishers to enter the market competitively by overcoming resource limitations. | - |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | 리듬게임▼a딥러닝▼a절차적 콘텐츠 생성▼a비트맵 생성▼a음악 정보 검색 | - |
dc.subject | Rhythm game▼aFeature-wise linear modulation▼aDeep learning▼aProcedural content generation▼aBeatmap generation▼aMusic information retrieval | - |
dc.title | Automatic rhythm game action generation from music using deep learning | - |
dc.title.alternative | 딥러닝 기반 음악 게임 액션 생성 | - |
dc.type | Thesis(Master) | - |
dc.identifier.CNRN | 325007 | - |
dc.description.department | 한국과학기술원 :문화기술대학원, | - |
dc.contributor.alternativeauthor | Nam, Juhan | - |
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