Presentation | 2022-12-21 Density-based Bias-Free Automatic Chart Generation for Rhythm Games Zhao Yifan, Tsunenori Mine, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Automatic chart generation methods for rhythm games often use both acoustic features and difficulty information when building models to predict the onset of the chart. Since difficulty information relates to both onset placement and the key structure of the game, direct use of difficulty information may cause unnecessary information bias in onset prediction. In this paper, we propose an approach that calculates density information to generate charts of different difficulty levels and uses the calculated information as an attribute for each level of onset. This allows the model to learn onset distributions with different levels of difficulty without directly using the difficulty information. Furthermore, integrating density-based onset sequences into a single one improves prediction performance, and density information can also be used to filter charts of different difficulty levels from the integrated chart. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Automatic Content GenerationVideo GameMachine Learning |
Paper # | AI2022-35 |
Date of Issue | 2022-12-14 (AI) |
Conference Information | |
Committee | AI |
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Conference Date | 2022/12/21(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | Yuichi Sei(Univ. of Electro-Comm.) |
Vice Chair | Yuko Sakurai(AIST) / Tadachika Ozono(Nagoya Inst. of Tech.) |
Secretary | Yuko Sakurai(Tokyo Univ. of Agriculture and Technology) / Tadachika Ozono(Toho Univ.) |
Assistant | Kazutaka Matsuzaki(Chuo Univ.) |
Paper Information | |
Registration To | Technical Committee on Artificial Intelligence and Knowledge-Based Processing |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Density-based Bias-Free Automatic Chart Generation for Rhythm Games |
Sub Title (in English) | |
Keyword(1) | Automatic Content GenerationVideo GameMachine Learning |
1st Author's Name | Zhao Yifan |
1st Author's Affiliation | Kyushu University(Kyushu Univ.) |
2nd Author's Name | Tsunenori Mine |
2nd Author's Affiliation | Kyushu University(Kyushu Univ.) |
Date | 2022-12-21 |
Paper # | AI2022-35 |
Volume (vol) | vol.122 |
Number (no) | AI-322 |
Page | pp.pp.13-17(AI), |
#Pages | 5 |
Date of Issue | 2022-12-14 (AI) |