用於音樂打擊遊戲的自動打擊點產生

Automatic Hit Time Generation for Onset-Based Music Games

李皓勳(Hao-Hsun Li)

指導教授 ： 張智星

國立臺灣大學/電機資訊學院/資訊工程學研究所/碩士(2014年)

https://doi.org/10.6342/NTU.2014.01675

摘要

以音樂為主題的遊戲一直是相當受歡迎的遊戲類型，從大型遊戲機台、電視遊戲主機、電腦遊戲，到近年來蓬勃發展的手持裝置，都可以看見音樂遊戲的蹤影。音樂打擊遊戲，其所使用的譜面須經由人工標記產生。本論文提出一套程序化的方法，從偵測聲音起始時間得到的資料當中，篩選出可用的、相對重要的時間點，並對它們加以分類，產生型別與難度，最後整合這些結果並產生譜面。透過此方法製作的音樂遊戲，譜面經由自動化過程產生，大幅提升產能；另一方面，使用者能即時將所持有音樂轉換成譜面，增加遊戲豐富性。

關鍵字

聲音起始時間偵測 ； 程序化內容產生 ； 音樂遊戲

並列摘要

Music game is a very popular game genre all the time. From arcade game machines, TV game consoles and PC games to recently booming mobile handsets, the presence of music games is in sight. Onset-based music games, which use notes to play, need the notes to be tagged by humans. This thesis proposes a system of procedural method, which selects useful and relatively important time points from the data yielded by onset detection, categorizes them into types and difficulty levels, and finally integrates these results into playable notes. The proposed system generates notes automatically, which massively enhances the productivity. On the other hand, users may transform their own music into notes in real-time, introducing much interest to the game.

並列關鍵字

onset detection ； procedural content generation ； music games

參考文獻

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